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How Recruiting Automation is changing the talent game

Hiring has always been a challenge, but in today’s competitive market, it feels tougher than ever. The best candidates often juggle multiple offers, and companies that move too slowly lose out. On top of that, recruiters spend hours on repetitive work — scanning resumes, coordinating interviews, chasing paperwork.
Author
Medha Bisht
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November 18, 2025
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3 min read

Why recruiting automation matters today

Hiring has always been a challenge, but in today’s competitive market, it feels tougher than ever. The best candidates often juggle multiple offers, and companies that move too slowly lose out. On top of that, recruiters spend hours on repetitive work — scanning resumes, coordinating interviews, chasing paperwork.

This is where recruiting automation steps in. What was once considered a niche HR tool has now become a business essential. Done right, automation doesn’t replace human recruiters. Instead, it makes them more effective by freeing them from manual tasks so they can focus on building relationships and making smarter hiring decisions.

What recruiting automation really means

At its core, recruiting automation uses technology to handle tasks that recruiters traditionally did by hand. Think of activities like sourcing candidates, screening resumes, scheduling interviews, sending reminders, or even creating onboarding documents.

This idea is part of a bigger trend called hyperautomation, where multiple technologies like AI, machine learning, and robotic process automation come together to streamline entire workflows. In recruiting, it means integrating tools so that everything from finding talent to managing employee records connects smoothly. The real power lies in building an end-to-end system where data flows seamlessly across HR and business platforms. This way, hiring isn’t just a standalone process but part of the organization’s larger growth strategy.

How AI recruiting automation delivers results

The business case for AI recruiting automation isn’t just about saving effort — it’s about measurable returns.

Cutting time-to-hire

Speed is critical. The average time-to-hire in 2025 is 36 days, which leaves plenty of room for improvement. Companies like United HR Solutions showed how AI platforms reduced time-to-hire by 45% and time-to-fill by 47%. In many cases, automation slashes hiring time by 30–50%.

When candidates receive faster responses and quick offers, companies avoid losing them to competitors. This also reduces the cost of vacant positions and boosts candidate satisfaction.

Reducing cost-per-hire

Hiring is expensive. Globally, the average cost per hire is around $4,683 when factoring in ads, recruiter hours, and agency fees. Manual scheduling alone can eat up five hours per candidate.

Automation cuts these costs significantly. Studies show administrative overhead can drop by up to 80%. Some reports estimate that AI recruiters can save as much as $16,000 per hire, thanks to faster shortlisting and reduced manual screening.

Another advantage: while manual costs rise with the number of hires, automated systems stay stable, making them ideal for fast-growing companies.

Improving candidate quality

Automation also raises the bar on candidate quality. AI tools focus on skills and experience, reducing unconscious bias and creating a fairer process. Resume-screening accuracy can reach 85–95%, far higher than manual reviews.

Case studies show a 40% boost in candidate quality scores and a 36% rise in sourcing quality after automation. Hiring better-fit employees lowers turnover, saving money and building stronger teams.

Enhancing candidate experience

Today’s candidates expect fast, transparent communication. Automation ensures they get it. Chatbots answer questions 24/7, automated emails provide updates, and scheduling tools let candidates book interviews at their convenience.

Companies using these tools report a 49% drop in candidate drop-off and a 44% increase in satisfaction. For example, the American Heart Association doubled its sourcing activity and boosted recruiter engagement by 50% after cutting administrative work with automation.

Smarter tools: the HackerEarth example

Automation isn’t one-size-fits-all. Some platforms are designed for specific industries. HackerEarth, for instance, specializes in tech hiring.

Best practices for recruiting automation

Adopting recruiting automation requires more than just buying software. Success depends on strategy and people.

Choosing the right platform

Pick tools that are scalable, easy to use, and able to integrate with your HR stack. 

Building seamless integrations

An Applicant Tracking System (ATS) often serves as the hub. The best setups integrate with CRMs, payroll, and learning platforms. Tools like Zapier help connect different apps into a unified workflow.

Managing change and training teams

Resistance is common. Recruiters may worry about losing relevance or struggling with new tools. The solution is open communication and involvement. Bringing teams into the process early can increase adoption success rates. Hands-on training and continuous learning opportunities ease fears and ensure recruiters can fully use the new system.

The future of recruiting automation

The new Role of recruiters

Contrary to fears, AI will not replace recruiters. Instead, it will reshape their role. The best outcomes will come from a human-AI hybrid model. Recruiters will be able to focus more on relationship-building, candidate engagement, and employer branding, while automation provides efficiency and insights. Those who embrace this partnership will be the most successful in the talent market of the future.

Conclusion: The smarter way forward

Recruiting automation is no longer optional. It speeds up hiring, cuts costs, improves candidate quality, and enhances the overall experience. It’s about creating a partnership where automation handles the repetitive work, and recruiters focus on what they do best: building connections and making smart, strategic choices.

As competition for talent grows, the companies that thrive will be the ones that adopt automation thoughtfully and use it to empower their people. The message is clear: the future of hiring is human and automated — working together to create stronger, smarter organizations.

FAQs on recruiting automation

How does automation improve candidate experience?

By giving faster responses, consistent updates, and convenient scheduling. Chatbots answer questions anytime, and candidates can book interviews without delays. This respect for their time builds trust and strengthens employer branding.

Can automation replace human recruiters?

No. Automation is great for repetitive, high-volume tasks like screening or scheduling. But recruiters bring empathy, judgment, and cultural insight that machines can’t replicate. The future is about working together, not replacement.

How I used VibeCode Arena platform to build code using AI and learnt how to improve it

How a developer used VibeCoding to generate Image Carousal code using VibeCode Arena platform and used objective evaluations to improve the LLM generated code
Author
Vineet Khandelwal
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November 8, 2025
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3 min read

I Used AI to Build a "Simple Image Carousel" at VibeCodeArena. It Found 15+ Issues and Taught Me How to Fix Them.

My Learning Journey

I wanted to understand what separates working code from good code. So I used VibeCodeArena.ai to pick a problem statement where different LLMs produce code for the same prompt. Upon landing on the main page of VibeCodeArena, I could see different challenges. Since I was interested in an Image carousal application, I picked the challenge with the prompt "Make a simple image carousel that lets users click 'next' and 'previous' buttons to cycle through images."

Within seconds, I had code from multiple LLMs, including DeepSeek, Mistral, GPT, and Llama. Each code sample also had an objective evaluation score. I was pleasantly surprised to see so many solutions for the same problem. I picked gpt-oss-20b model from OpenAI. For this experiment, I wanted to focus on learning how to code better so either one of the LLMs could have worked. But VibeCodeArena can also be used to evaluate different LLMs to help make a decision about which model to use for what problem statement.

The model had produced a clean HTML, CSS, and JavaScript. The code looked professional. I could see the preview of the code by clicking on the render icon. It worked perfectly in my browser. The carousel was smooth, and the images loaded beautifully.

But was it actually good code?

I had no idea. That's when I decided to look at the evaluation metrics

What I Thought Was "Good Code"

A working image carousel with:

  • Clean, semantic HTML
  • Smooth CSS transitions
  • Keyboard navigation support
  • ARIA labels for accessibility
  • Error handling for failed images

It looked like something a senior developer would write. But I had questions:

Was it secure? Was it optimized? Would it scale? Were there better ways to structure it?

Without objective evaluation, I had no answers. So, I proceeded to look at the detailed evaluation metrics for this code

What VibeCodeArena's Evaluation Showed

The platform's objective evaluation revealed issues I never would have spotted:

Security Vulnerabilities (The Scary Ones)

No Content Security Policy (CSP): My carousel was wide open to XSS attacks. Anyone could inject malicious scripts through the image URLs or manipulate the DOM. VibeCodeArena flagged this immediately and recommended implementing CSP headers.

Missing Input Validation: The platform pointed out that while the code handles image errors, it doesn't validate or sanitize the image sources. A malicious actor could potentially exploit this.

Hardcoded Configuration: Image URLs and settings were hardcoded directly in the code. The platform recommended using environment variables instead - a best practice I completely overlooked.

SQL Injection Vulnerability Patterns: Even though this carousel doesn't use a database, the platform flagged coding patterns that could lead to SQL injection in similar contexts. This kind of forward-thinking analysis helps prevent copy-paste security disasters.

Performance Problems (The Silent Killers)

DOM Structure Depth (15 levels): VibeCodeArena measured my DOM at 15 levels deep. I had no idea. This creates unnecessary rendering overhead that would get worse as the carousel scales.

Expensive DOM Queries: The JavaScript was repeatedly querying the DOM without caching results. Under load, this would create performance bottlenecks I'd never notice in local testing.

Missing Performance Optimizations: The platform provided a checklist of optimizations I didn't even know existed:

  • No DNS-prefetch hints for external image domains
  • Missing width/height attributes causing layout shift
  • No preload directives for critical resources
  • Missing CSS containment properties
  • No will-change property for animated elements

Each of these seems minor, but together they compound into a poor user experience.

Code Quality Issues (The Technical Debt)

High Nesting Depth (4 levels): My JavaScript had logic nested 4 levels deep. VibeCodeArena flagged this as a maintainability concern and suggested flattening the logic.

Overly Specific CSS Selectors (depth: 9): My CSS had selectors 9 levels deep, making it brittle and hard to refactor. I thought I was being thorough; I was actually creating maintenance nightmares.

Code Duplication (7.9%): The platform detected nearly 8% code duplication across files. That's technical debt accumulating from day one.

Moderate Maintainability Index (67.5): While not terrible, the platform showed there's significant room for improvement in code maintainability.

Missing Best Practices (The Professional Touches)

The platform also flagged missing elements that separate hobby projects from professional code:

  • No 'use strict' directive in JavaScript
  • Missing package.json for dependency management
  • No test files
  • Missing README documentation
  • No .gitignore or version control setup
  • Could use functional array methods for cleaner code
  • Missing CSS animations for enhanced UX

The "Aha" Moment

Here's what hit me: I had no framework for evaluating code quality beyond "does it work?"

The carousel functioned. It was accessible. It had error handling. But I couldn't tell you if it was secure, optimized, or maintainable.

VibeCodeArena gave me that framework. It didn't just point out problems, it taught me what production-ready code looks like.

My New Workflow: The Learning Loop

This is when I discovered the real power of the platform. Here's my process now:

Step 1: Generate Code Using VibeCodeArena

I start with a prompt and let the AI generate the initial solution. This gives me a working baseline.

Step 2: Analyze Across Several Metrics

I can get comprehensive analysis across:

  • Security vulnerabilities
  • Performance/Efficiency issues
  • Performance optimization opportunities
  • Code Quality improvements

This is where I learn. Each issue includes explanation of why it matters and how to fix it.

Step 3: Click "Challenge" and Improve

Here's the game-changer: I click the "Challenge" button and start fixing the issues based on the suggestions. This turns passive reading into active learning.

Do I implement CSP headers correctly? Does flattening the nested logic actually improve readability? What happens when I add dns-prefetch hints?

I can even use AI to help improve my code. For this action, I can use from a list of several available models that don't need to be the same one that generated the code. This helps me to explore which models are good at what kind of tasks.

For my experiment, I decided to work on two suggestions provided by VibeCodeArena by preloading critical CSS/JS resources with <link rel="preload"> for faster rendering in index.html and by adding explicit width and height attributes to images to prevent layout shift in index.html. The code editor gave me change summary before I submitted by code for evaluation.

Step 4: Submit for Evaluation

After making improvements, I submit my code for evaluation. Now I see:

  • What actually improved (and by how much)
  • What new issues I might have introduced
  • Where I still have room to grow

Step 5: Hey, I Can Beat AI

My changes helped improve the performance metric of this simple code from 82% to 83% - Yay! But this was just one small change. I now believe that by acting upon multiple suggestions, I can easily improve the quality of the code that I write versus just relying on prompts.

Each improvement can move me up the leaderboard. I'm not just learning in isolation—I'm seeing how my solutions compare to other developers and AI models.

So, this is the loop: Generate → Analyze → Challenge → Improve → Measure → Repeat.

Every iteration makes me better at both evaluating AI code and writing better prompts.

What This Means for Learning to Code with AI

This experience taught me three critical lessons:

1. Working ≠ Good Code

AI models are incredible at generating code that functions. But "it works" tells you nothing about security, performance, or maintainability.

The gap between "functional" and "production-ready" is where real learning happens. VibeCodeArena makes that gap visible and teachable.

2. Improvement Requires Measurement

I used to iterate on code blindly: "This seems better... I think?"

Now I know exactly what improved. When I flatten nested logic, I see the maintainability index go up. When I add CSP headers, I see security scores improve. When I optimize selectors, I see performance gains.

Measurement transforms vague improvement into concrete progress.

3. Competition Accelerates Learning

The leaderboard changed everything for me. I'm not just trying to write "good enough" code—I'm trying to climb past other developers and even beat the AI models.

This competitive element keeps me pushing to learn one more optimization, fix one more issue, implement one more best practice.

How the Platform Helps Me Become A Better Programmer

VibeCodeArena isn't just an evaluation tool—it's a structured learning environment. Here's what makes it effective:

Immediate Feedback: I see issues the moment I submit code, not weeks later in code review.

Contextual Education: Each issue comes with explanation and guidance. I learn why something matters, not just that it's wrong.

Iterative Improvement: The "Challenge" button transforms evaluation into action. I learn by doing, not just reading.

Measurable Progress: I can track my improvement over time—both in code quality scores and leaderboard position.

Comparative Learning: Seeing how my solutions stack up against others shows me what's possible and motivates me to reach higher.

What I've Learned So Far

Through this iterative process, I've gained practical knowledge I never would have developed just reading documentation:

  • How to implement Content Security Policy correctly
  • Why DOM depth matters for rendering performance
  • What CSS containment does and when to use it
  • How to structure code for better maintainability
  • Which performance optimizations actually make a difference

Each "Challenge" cycle teaches me something new. And because I'm measuring the impact, I know what actually works.

The Bottom Line

AI coding tools are incredible for generating starting points. But they don't produce high quality code and can't teach you what good code looks like or how to improve it.

VibeCodeArena bridges that gap by providing:

✓ Objective analysis that shows you what's actually wrong
✓ Educational feedback that explains why it matters
✓ A "Challenge" system that turns learning into action
✓ Measurable improvement tracking so you know what works
✓ Competitive motivation through leaderboards

My "simple image carousel" taught me an important lesson: The real skill isn't generating code with AI. It's knowing how to evaluate it, improve it, and learn from the process.

The future of AI-assisted development isn't just about prompting better. It's about developing the judgment to make AI-generated code production-ready. That requires structured learning, objective feedback, and iterative improvement. And that's exactly what VibeCodeArena delivers.

Here is a link to the code for the image carousal I used for my learning journey

#AIcoding #WebDevelopment #CodeQuality #VibeCoding #SoftwareEngineering #LearningToCode

Vibe Coding: Shaping the Future of Software

A New Era of Code Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change Discover how vibe coding is reshaping software development. Learn about its benefits, challenges, and what it means for developers in the AI era.
Author
Vishwastam Shukla
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November 8, 2025
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3 min read

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

Vibe Coding Difference

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable or Hostinger Horizons enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

How Candidates Use Technology to Cheat in Online Technical Assessments

Discover common technologies used by candidates for cheating in online assessments. Explore effective prevention methods like proctoring, AI monitoring, and smart test formats.
Author
Nischal V Chadaga
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December 1, 2025
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3 min read

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. At the same time, some organizations complement their process with context-aware code security support to ensure AI-generated solutions follow secure development practices. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.

Talent Acquisition Strategies For Rehiring Former Employees

Discover effective talent acquisition strategies for rehiring former employees. Learn how to attract, evaluate, and retain top boomerang talent to strengthen your workforce.
Author
Nischal V Chadaga
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November 8, 2025
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3 min read
Former employees who return to work with the same organisation are essential assets. In talent acquisition, such employees are also termed as ‘Boomerang employees’. Former employees are valuable because they require the least training and onboarding because of their familiarity with the organization’s policies. Rehiring former employees by offering them more perks is a mark of a successful hiring process. This article will elaborate on the talent acquisition strategies for rehiring former employees, supported by a few real-life examples and best practices.

Why Should Organizations Consider Rehiring?

One of the best ways of ensuring quality hire with a low candidate turnover is to deploy employee retention programs like rehiring female professionals who wish to return to work after a career break. This gives former employees a chance to prove their expertise while ensuring them the organization’s faith in their skills and abilities. Besides, seeing former employees return to their old organizations encourages newly appointed employees to be more productive and contribute to the overall success of the organization they are working for. A few other benefits of rehiring old employees are listed below.

Reduced Hiring Costs

Hiring new talent incurs a few additional costs. For example, tasks such as sourcing resumes of potential candidates, reaching out to them, conducting interviews and screenings costs money to the HR department. Hiring former employees cuts down these costs and aids a seamless transition process for them.

Faster Onboarding

Since boomerang employees are well acquainted with the company’s onboarding process, they don’t have to undergo the entire exercise. A quick, one-day session informing them of any recent changes in the company’s work policies is sufficient to onboard them.

Retention of Knowledge

As a former employee, rehired executives have knowledge of the previous workflows and insights from working on former projects. This can be valuable in optimizing a current project. They bring immense knowledge and experience with them which can be instrumental in driving new projects to success.Starbucks is a prime example of a company that has successfully leveraged boomerang employees. Howard Schultz, the company's CEO, left in 2000 but returned in 2008 during a critical time for the firm. His leadership was instrumental in revitalizing the brand amid financial challenges.

Best Practices for Rehiring Former Employees

Implementing best practices is the safest way to go about any operation. Hiring former employees can be a daunting task especially if it involves someone who was fired previously. It is important to draft certain policies around rehiring former employees. Here are a few of them that can help you to get started.

1. Create a Clear Rehire Policy

While considering rehiring a former employee, it is essential to go through data indicating the reason why they had to leave in the first place. Any offer being offered must supersede their previous offer while marking clear boundaries to maintain work ethics. Offer a fair compensation that justifies their skills and abilities which can be major contributors to the success of the organization. A well-defined policy not only streamlines the rehiring process but also promotes fairness within the organization.

2. Conduct Thorough Exit Interviews

Exit interviews provide valuable insights into why employees leave and can help maintain relationships for potential future rehires. Key aspects to cover include:
  • Reasons for departure.
  • Conditions under which they might consider returning.
  • Feedback on organizational practices.
Keeping lines of communication open during these discussions can foster goodwill and encourage former employees to consider returning when the time is right.

3. Maintain Connections with Alumni

Creating and maintaining an alumni association must be an integral part of HR strategies. This exercise ensures that the HR department can find former employees in times of dire need and indicates to former employees how the organization is vested in their lives even after they have left them. This gesture fosters a feeling of goodwill and gratitude among former hires. Alumni networks and social media groups help former employees stay in touch with each other, thus improving their interpersonal communication.Research indicates that about 15% of rehired employees return because they maintained connections with their former employers.

4. Assess Current Needs Before Reaching Out

Before reaching out to former employees, assess all viable options and list out the reasons why rehiring is inevitable. Consider:
  • Changes in job responsibilities since their departure.
  • Skills or experiences gained by other team members during their absence.
It is essential to understand how the presence of a boomerang employee can be instrumental in solving professional crises before contacting them. It is also important to consider their present circumstances.

5. Initiate an Honest Conversation

When you get in touch with a former employee, it is important to understand their perspective on the job being offered. Make them feel heard and empathize with any difficult situations they may have had to face during their time in the organization. Understand why they would consider rejoining the company. These steps indicate that you truly care about them and fosters a certain level of trust between them and the organization which can motivate them to rejoin with a positive attitude.

6. Implement a Reboarding Program

When a former employee rejoins, HR departments must ensure a robust reboarding exercise is conducted to update them about any changes within the organization regarding the work policies and culture changes, training them about any new tools or systems that were deployed during their absence and allowing them time to reconnect with old team members or acquaint with new ones.

7. Make Them Feel Welcome

Creating a welcoming environment is essential for helping returning employees adjust smoothly. Consider:
  • Organizing team lunches or social events during their first week.
  • Assigning a mentor or buddy from their previous team to help them reacclimate.
  • Providing resources that facilitate learning about any organizational changes.
A positive onboarding experience reinforces their decision to return and fosters loyalty.

Real-Life Examples of Successful Rehiring

Several companies have successfully implemented these strategies:

IBM: The tech giant has embraced boomerang hiring by actively reaching out to former employees who possess critical skills in emerging technologies. IBM has found that these individuals often bring fresh perspectives that contribute significantly to innovation7.

Zappos: Known for its strong company culture, Zappos maintains an alumni network that keeps former employees engaged with the brand. This connection has led to numerous successful rehiring instances, enhancing both morale and productivity within teams6.

Conclusion

Rehiring former employees can provide organizations with unique advantages, including reduced costs, quicker onboarding, and retained knowledge. By implementing strategic practices—such as creating clear policies, maintaining connections, assessing current needs, and fostering welcoming environments—companies can effectively tap into this valuable talent pool.

As organizations continue navigating an ever-changing workforce landscape, embracing boomerang employees may be key to building resilient teams equipped for future challenges. By recognizing the potential benefits and following best practices outlined above, businesses can create a robust strategy for rehiring that enhances both employee satisfaction and organizational performance.
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Talking #BlackLinkedIn and DEI with Patricia Gatlin

Hire IQ by HackerEarth is a new initiative in which we speak with recruiters, talent acquisition managers, and hiring managers from across the globe, and ask them pertinent questions on the issues that ail the tech recruiting world.

Next up in this edition is Patricia Gatlin, Diversity Lead/Talent Sourcing Specialist, at Johns Hopkins. She is also the curator of #BlackLinkedin ✊🏾 where she mentions how biased the LinkedIn algorithm is due to which her DEI posts were not getting the same exposure as everyone else.

We keep saying the tech world needs to break out of its “boys only” mode and become more inclusive when the tech we use on an everyday basis could be the very reason that relevant voices like hers are not getting seen, or heard.

All the more reason for this conversation with Patricia—to learn about her journey and understand inclusivity and diversity in the tech world, at a micro level.

Settle in, and let’s get to it!

P.S. If you missed the previous edition of HireIQ where we sat down with Colet Coelho from Recruit CRM, you can read it here 🙂

HackerEarth: You mention on your site that #BlackLinkedin was born out of shared knowledge of how Black and brown voices are discriminated against by the AI on LinkedIn. Have you seen this discrimination on other social sites, too? Could you share a few examples of this discrimination and how it has affected your work in the DEI space?

Patricia: Yes, I have seen it on other sites such as Instagram, Tiktok, Youtube, Facebook, etc.

Algorithmic bias is systemic and it creates unfair circumstances for particular users and promotes access to privilege.

At the root of it all, are the rules – the platforms’ IFTTT framework gets coupled with messages from a certain section of society who may be classist, racist, or phobic.

Let’s be honest, not everyone had a computer when they first came out but guess who did? White affluent males, and therefore they were the first ones in the race while everyone else was catching up. We fail to acknowledge that white males have the most disposable incomes because they are getting paid more. So, if you started with a UX being focused on your target audience being white and having white privilege then, of course, you’re going to see AI issues.

Every mainstream social media platform has discrimination built into it. For example, TikTok is a Chinese-based company in a society that is monoethnic, and consequently, they don’t have to live in a polyethnic society like America, and the platform too, isn’t built to accommodate the nuances of a polyethnic American society. In fact, most countries aren’t polyethnic. Most societies don’t deal with the same racial and cultural constructs that America does. If a society deems whiteness as the most virtuous then a video platform will be biased toward that. We live in a global world that centers privilege and access around whiteness.

POCs in Tech

There is a strong need to be proactive in my quest to support black and brown content over people who are not of color. When I’m building out a talent pipeline I can already assume that if I’m doing a Boolean or X-ray search of Google I will see white candidates first because most likely the algorithm is based on social constructs that don’t support black professionals. Even if you are using YouTube and you search for a video data engineer you will most likely see men, mostly white, and a few men of color.

Why? Because white men most likely had privileged access either to education, the job interview, or to have camera gear to shoot content about their job. As a DEI specialist, it’s my job to find the problem, address it, and correct it with whatever tools I can find. First, I must admit there’s a systemic or institutionalized issue for POC in Tech, and only then can I begin to deconstruct what that looks like for them.

Also, read: 10-Step Diversity Hiring Handbook

HackerEarth: Post creating #BlackLinkedIn, have you seen a change in the way your posts are being received online? Could you detail some of the wins of the movement for us?

Patricia: I have seen a change because the hashtag exists, and people know where to find mine and others’ content on the platform. I think the biggest win of the movement is BIPOCs’ finding each other on the platform, creating safe spaces, and connecting more; which is leading to more people landing opportunities through referrals or getting mentorship.

The hashtag has become a watercooler for us to hang out and tell our truths about what it means to a professional in and outside of the workplace.

We have a long way to go with growing support around it. In addition, I have put up an informative site and added a quarterly virtual event called, The Digital Cookout, where we get to gather and discuss hot topics from the water cooler (hashtag). Our last event was about over employment and how to navigate that as a black or brown professional.

HackerEarth: How do you think the DEI space has evolved since George Floyd and Black Lives Matter? In your opinion, is there an added emphasis on POCs in tech recruiting, or was it just a phase?

Patricia: The DEI space has dramatically changed, there are more activists now than before when everyone was just a human resource professional or community or social justice advocate. DEI has allowed activists, like me, to be considered ‘professionals’ and get paid for the emotional labor we do. Unfortunately, George Floyd had to die for people to really see how racism affects the black community in America. With his death, we saw Fortune 500 companies, and especially tech companies, pledge to become the change we so desperately need.

For some companies, it was just performative because they never put any action behind it or they simply just put money into it and left black and brown people to solve an issue they didn’t create.

Not only that but, many companies secretly support the systematic injustice of black and brown people on the back end. If you donate to politicians or groups who actively support the phobia of blacks, LGBTQ+, women’s rights, etc. then you are canceling out your public displays of advocacy which makes it performative. There’s an added emphasis from those companies now to hire POCs and I’ve seen some great discussions, accelerators, and apprenticeships come out of it but I can’t speak for the results because it may be 2-3 years before we see it.

Also, read: Recruiters Versus Bias: Who’s Winning This War?

HackerEarth: With inflation and layoffs, do you think that the emphasis placed on creating diverse teams in the days right after COVID will be lost?

Patricia: No I don’t think the emphasis will be lost but I believe the reasons could be twisted. Let me explain, junior and mid-level professionals tend to make up the majority of BIPOC. In addition, departments and teams that are deemed unnecessary tend to house a majority of BIPOC for example talent acquisition, administrative, facilities, marketing, etc. When you look at who makes up those teams you will see women and people of color.

The issue with inflation is people are cutting their budgets, but this is the time for companies to start looking at their diversity pipelines and discover what they can do better. Instead, what I see companies doing is, hiring BIPOC in their mid-COVID pipelines for low salaries. They blame it on having a lean budget, but we all know the CEO isn’t getting furloughed. Some companies are targeting BIPOC because they know that inflation can make them desperate. Therefore, some are using diverse pipelines as a lure to keep their ships from sinking and not really because they believe in the mission.

HackerEarth: According to you – what are the top 3 global tech companies who are doing DEI right, and what can others learn from them?

Patricia: If I’m being honest, I don’t co-sign for companies I haven’t been hired to audit myself or been hired at because I have heard horror stories from employees at some of the best companies. We must stop seeing DEI as a badge of honor when it’s actually what should have always been done. You can have the trophy one day and the next it’s been taken away. Don’t incentivize DEI because people will start doing it for the wrong reasons. But if I had to give an answer, from what I’ve heard, Twilio, Microsoft, and Blend (no further comment than that).

Also, read: How To Build Safe And ‘PROUD’ Workplaces – A Personal Story

HackerEarth: What is the on-ground reality among POCs applying for roles in tech? Is there more trust among the community, or are there vital issues that they think are not being addressed?

Patricia: Inflation is not going away or slowing down for another 2-3 years if that.

Hiring freezers are real if you want to get into big tech. Yes, you might be able to snag a contract role but that’s not FTE and people of color need full benefits.

The tech industry has gotten more competitive due to TikTok influencers marketing six-figure salaries and luxury lifestyles. Tech is making it even harder to get an interview or get an offer because tech companies are combating career influencers who give out elaborate narratives about the industry.

We’re also not discussing the Gen Zs who don’t want to work harder but smarter and how that will affect retention rates in the future. Luckily there is more trust amongst POCs who are sharing amazing IRL information about what it means to work in this industry. I love BlackTechTwitter and all the Facebook groups for POCs in different fields. Yet, a vital issue is that there are even more gatekeepers in tech now because of all that I previously mentioned.

HackerEarth: What are 3–5 pieces of advice you have for organizations looking to improve the impact of their D&I strategies?

Patricia: When DEI professionals are burned out they can’t solve problems.

Put your money where the problem is, don’t just say you want to work on DEI strategies and not pay DEI professionals well and then not give them a team to support those efforts.

BIPOCs are just as capable as anyone else but they also need support before, during, and after the interview phase. For every employee it’s going to look different, for example, one might need relocation assistance even if they aren’t a director or VP. The others might need a buddy system or mentorship to guide them through working at your corporation for the first 90 days. Another might simply need a roadmap on how to climb the ladder at your corporation. Have a collaborative plan with your BIPOC so they can become pillars at the job and not just metrics. These are retention methods you should be considering.

Promote black and brown people at the C-Suite level. It’s that simple. Black women are the most educated group in America and eventually the world. Create a seat at the table or be prepared to be sitting alone. The world is becoming more diverse (brown) by the minute and Gen Z will not put up with the same things previous generations have.

Stop taking weeks and months to interview candidates, especially BIPOC because most people are living paycheck to paycheck. The average cost for a company to interview a candidate is 4k and the cost for a candidate to interview with a company given they make it to the last round is half of that. People can’t afford to wait months to go without an answer. Candidates can’t afford to do 3-4 rounds of interviews and an assessment that’s just overkill.

About Patricia Gaitlin

My name is Patricia (Sonja Sky) Gatlin. I’m a New York Times featured activist, DEI Specialist, EdTechie, and Founder of Newbies in Tech. I live in the entertainment capital of the world, Las Vegas, Nevada. I’ve worked 10+ years in Higher Education and 3+ years in Tech. I’ve recently merged the two fields and currently work part-time as a Diversity Lead sourcing and recruiting STEM professionals to teach gifted students. In addition, I’m a full-time Coordinator flexing my project management, instructional design, and community engagement skills. My goal is to inspire people and become a Chief Diversity Officer and Tech influencer.

Interview Questions To Ask Cybersecurity Candidates

Cybersecurity is among the most critical aspects of building an online business and it goes without saying it needs to have an expert to make sure everything is in place. Without good cybersecurity experts, it becomes an extremely difficult task to protect your company’s data, servers, software, and other electronic systems from hackers and other cyber attacks. As per Accenture data security breaches have surged by 11% since 2018.

As of today, we are in a world where almost everything is online and electronic devices are important as food, we can’t live without them. This goes without saying that our information is online too but the threat of cyber-attacks or stolen data still looms over us.

This is why cybersecurity interviews should be as thorough as any other interview for a tech role. When hiring a cybersecurity expert, you should know what the role requires, what to ask, and what you should look out for in a candidate.

What is cybersecurity?

Cybersecurity is the practice of protecting computer systems, networks, and data from digital attacks. These attacks aim to access, change, or destroy sensitive information, extort money from users, or disrupt normal business processes.

In essence, cybersecurity is about safeguarding the integrity, confidentiality, and availability of information. It involves a combination of technologies, processes, and people working together to create a secure environment. To stay protected from modern digital threats, it’s also wise to secure yourself with a VPN when accessing online systems or handling sensitive data remotely.

Key areas of cybersecurity include:

Network security: Protecting computer networks from intruders.

Application security: Ensuring software and applications are free from vulnerabilities.

Data security: Protecting sensitive information from unauthorized access, use, disclosure, disruption, modification, or destruction.

Endpoint security: Protecting individual devices like computers, laptops, and smartphones.

Cloud security: Safeguarding data and applications stored in the cloud.

Importance of a thorough tech interview for cybersecurity candidates

As mentioned above, almost everything is online. To keep up with the ever-growing online population and to make the best out of this opportunity, businesses need individuals who are well versed in coding and other related aspects.

Moreover, it’s not just about coding and tech, you also need someone who can think on their feet and come up with abstract solutions for abstract problems. As a recruiter, you will find a ton of applicants with outstanding resumes, but a lot of them may not translate to practical application.

This is why you need to be thorough with your cybersecurity interview questions to hire the best candidates only. You can also make use of HR tech software and tools to smoothen the process of tech interviews. For instance, you could use FaceCode, a useful tool by HackerEarth that lets you take online interviews with an in-built code editor that can be used in real-time and comes with a lot of other features as well.

Apart from that, asking the right questions and looking out for optimal answers will get you the best candidates possible. Asking the right questions also opens up the avenue for good dialogue and helps the candidates understand the role and brand better. The answers provided will help the interviewer understand candidates better.

It also helps recruiters understand the extent of the candidate’s abilities and their interest in/towards the brand.

Also Read: Hiring DEV Talent: SQL Interview Questions

Interview questions to ask cybersecurity candidates

Here’s a list of 20 cybersecurity interview questions that you should ask if you want to hire the best candidate:

#1 – State your personal achievements and certifications in cybersecurity.

This is an important question, it will help you understand the candidates’ qualifications and experience. It will give you a brief look into their academic journey in cybersecurity as well from which you can ascertain if they’re a good fit for the role or not.

Any candidates who have put in the work will clearly stand out from the rest.

What Should You Look Out For?

Keep an eye out for applicants who have certifications that could close the gap in your cybersecurity system.

Don’t just look at their qualifications, look for candidates who are willing to learn on the job as well, why?

Because you need someone who can constantly grow with the organization.

#2 – Tell us, If you were a hacker, how would you steal our information?

This is a unique question and in simple words, you should look out for unique answers.

Cyber-criminals, typically are able to get into several well-protected systems because they’re either one step ahead or are extremely abstract in their thinking and if you want to keep your systems/data safe, you need someone who can match their abstract thinking.

You need someone who can understand the way they think and should be able to come up with solutions for the same.

What Should You Look Out For?

Look out for practical yet hypothetical problems with solutions. Also, someone who can read patterns and predict future trends in the digital world will be of great help, undoubtedly.

#3 – What is effective cybersecurity? How would you quantify it?

One of the cybersecurity interview questions that need not have a correct answer, you should ask this question to understand your candidates’ definition of effective cybersecurity and the parameters he/she would follow to quantify the same.

Of course, every answer will not be the same, but this will also help you differentiate between people who’ve had practical experience and those who haven’t. Although answers may vary, a good candidate will use practical examples and offer practical parameters for measuring different aspects of effective cybersecurity.

What Should You Look Out For?

Look out for the methods they use to define effective cybersecurity and more importantly, you need to know how the candidates rate and understand the different parameters involved.

#4 – When building firewalls, do you choose closed ports or filtered ports? Explain why

Talking tech terminologies and understanding them are two different things, this question helps you understand if the candidates have sound knowledge of the basics. Anyone who has been in this field will answer this question with relative ease.

cybersecurity interview question

#5 – Tell us about a time when you had to resolve an issue after finding a vulnerability issue in your company’s server.

The answer to this question will tell you how good the candidate is at figuring out problems and weak spots in the server. You will also be able to assess them on their problem-solving skills.

What Should You Look Out For?

The ability to take initiative, and always trying to be one step ahead are two things you should look out for here.

#6 – If there was a massive security breach? How would you inform your superiors of the situation?

One thing has always been clear in business, communication is everything, it does not matter how skilled you are, if you cannot communicate with other people within the organization, then you are not helping the organization grow.

It also helps you see how well the candidates can communicate the problem to people who aren’t well versed in tech.

What Should You Look Out For?

Look out for the ability to explain tech terms in a non-technical way. Someone who can explain the gravity of the situation without disrupting any peace.

#7 – Tell us about how well you work with a team. Give an example as well.

Working together with other employees and teams when necessary is an important part of the job description, you need individuals who can build rapport and work with other team members as well. A lone wolf is of no use to a company.

What Should You Look Out For?

It goes without saying that you need to keep an eye on someone who can be a great team player.

Again, look for moments of hesitation when you ask this question, it could indicate they may not play well with a team.

#8 – Did you ever identify an incoming cyber-attack? If so, how did you handle the same?

This can give you an insight into how good the candidate is at identifying incoming attacks, be it internal or external threats. Also, it gives you a picture of how they are handled from which you can ascertain their effectiveness and the candidates’ ability to think/act quickly.

What Should You Look Out For?

Intricate information about the cyberattacks and the candidate’s responses to the same.

#9 – What do you use in your home network?

A simple yet effective cybersecurity interview question, it will help you understand the candidates’ personal preferences in tech and how they make use of it. It is also an indication of how well the candidate’ knows the tools he’s using.

What Should You Look Out For?

Keep an eye out for how the candidate uses his/her setup, even if they don’t have the latest setup, what matters is how effectively they use their current ones.

#10 – What do you think is this organization’s cybersecurity risk?

Of course, he may not be able to give the most accurate answer given the fact that he doesn’t know all the details involved. But if the candidates recommend a one-for-all solution, that is not what you’re looking for.

You need someone who can do a risk assessment with the relevant information and accordingly comes up with an effective solution.

What Should You Lookout For?

Look out for candidates who ask for certain specific information when they’re faced with this question, you want people who will understand your system and its intricacies.

#11 – If you were our cybersecurity expert, what would you want from our company to get the job done?

In this question, it’s not just about obtaining software and quoting prices. You should look for the candidates’ interest to work with other teams for better outcomes.

You should understand if the candidates’ request is feasible or not and if it is, is it worth spending that money?

What Should You Look Out For?

Candidates who don’t just name tools and software but know how to make effective use of them and are able to come up with viable solutions.

#12 – How will you prevent a brute-force attack?

one of the cybersecurity interview questions that will help you understand how good the candidate is when it comes to preventing an attack. It will tell about the preventive measures that the candidate is familiar with.

cybersecurity interview question

#13 – Has there been an instance where you’ve taken down your company’s network while testing?

Although that shouldn’t happen, it is quite unavoidable. For candidates to admit the same and their experience may not be the best thing to do, but the truth is quite the opposite.

If a candidate opens up about an incident where he took down the company server, it reflects honesty and you need honest people on the team. Everyone makes mistakes, but they should be accepting of it as well.

What Should You Look Out For?

It’s simple, look out for genuine answers that reflect their honesty.

#14 – Are cybersecurity certifications the most important?

A ton of candidates nowadays come with multiple certifications, but do they think it’s the most important?

Their answer will tell you a lot about them. Of course, certifications are important but the experience will always matter slightly more. The reason for asking this is, that you need someone who understands that practical cybersecurity problems aren’t like certification courses.

What Should You Look Out For?

For candidates with relevant certifications and experience to back it up as well.

#15 – Do you have an emergency procedure in place?

Cybersecurity professionals must concentrate on both regular surveillance and application as well as long-term planning and development. This is done to prevent cyberattacks and if a cyberattack happens, they should have a contingency plan in place.

These cybersecurity interview questions will help you understand if the candidate can think one step ahead at all times.

What Should You Look Out For?

Keep an ear out for practical contingency strategies and also for prior experiences that state the same.

#16 – What is the difference between IDS and IPS?

This will help you understand how well the candidate knows his basics. IPS is basically to scan and identify incoming cyberattacks. IDS is a monitoring system.

What Should You Look Out For?

For a detailed difference between the two as they are different and yet they work together. Someone who knows will be pretty experienced.

#17 – Explain system hardening.

This refers to software and methods used to protect vulnerable systems in the organization. You need someone who can compress the attack surface effectively.

What Should You Look Out For?

A practical example of them hardening any system and how it helped.

#18 – Polymorphic viruses: What are they?

You need someone who can not only identify attacks but identify viruses as well, especially the ones that can change after it infects a file.

As an organization prone to this risk, you need someone who can identify this and provide a solution for the same.

What Should You Look Out For?

Practical ways of identifying polymorphic viruses and effective solutions. Also, look for any experience related to the same.

#19 – Explain active reconnaissance.

This refers to reconnaissance by the attackers. But this isn’t a direct attack, it’s a recon mission of sorts, mainly to steal data.

You need someone who can differentiate between different types of attacks and provide positive outcomes for the same.

What Should You Look Out For?

For any experience of the same and how they handled it.

#20 – How would you strengthen our company’s cyber defense?

You need someone who will proactively suggest effective solutions to safeguard to company’s systems and servers.

What Should You Look Out For?

Questions about the current system to make said suggestions, will help you understand how well the candidates can understand your system and provide defensive solutions for the same.

How To Keep Your Application Process Mobile Friendly

Mobile phones are no longer just a ‘telephony device’ used for communicating with your friends and family. It has transformed into a robust channel that helps in accomplishing a wide array of tasks in a multitude of domains. This includes something as conservative and traditional as the hiring domain.

Businesses across the globe are switching to mobile-friendly application processes because it helps them reach the ‘unreachable.’ Not everyone who has applied to your company has a working laptop or a consistent broadband connection 24X7. But all of them will have a smartphone with them throughout the day. And that’s why it makes total sense to make your application process mobile-friendly.

But the bigger question is ‘how.’ In this article, we bring you 6 ways to keep your application process mobile-friendly.

Tips for a mobile-friendly application process

#1 Keep the application process short

As an employer, this tip might come as a surprise. It might even make you a little nervous. After all, you might wonder - ‘How will I know everything about a candidate and make an informed hiring decision if the application process is short.’ The trick is to ask the right set of questions that will clear all your doubts for an initial assessment. You can always ask more during later calls. Cloud telephony platforms like FreJun log and record all your calls with candidates. You can use this information to make the right decision without making the application process too long.

Also, when you do not keep your application process short, it might impact your chances of attracting top talent. No one likes to spend hours on an application. According to a survey, more than 73% of job seekers tend to not complete their application process if it takes more than 12 minutes.
Also, read: Streamline Your Recruitment Process With These 7 Tips

#2 Allow applicants to upload their resumes from the cloud

‘Hiring and ‘resumes’ are often considered to be ‘inseparable twins.’ One cannot live without the other. As an employer, resumes are the first thing you see about a candidate. It is a key document to decide whether the candidate is a good fit or not. However, a document as important as a resume can also become a reason for incomplete applications.This is because most people complete their applications on their mobile, and they might not have a digital copy of their resume stored on it. That’s why you need to give them an option to upload their resumes via cloud platforms like Dropbox or Google Drive. There’s a good chance that they have a copy of their updated resumes on these drives, and can instantly upload it. This ensures that there are no unwanted interruptions in their application process.

#3 Communicate with candidates via text

A study has shown that the open rate of text messages(98%) is way more than emails(20%). There are two reasons for this -
  • Texts tend to be more personal than emails. Historically, text messages have been considered a way to communicate with your loved ones. This automatically makes people warm up to text messages more than official emails.
  • Text messages will be delivered no matter what. For instance, an SMS will be delivered to the candidates irrespective of whether their phone is ‘smart’ or not.
So make sure to open a two-way communication channel with your candidates through text messaging.

#4 Promote your application process as mobile-first

In a survey, it was found that the companies promoting their job opening as mobile-friendly saw an 11.6% increase in job applications. A company that has made an effort to make its application process mobile-friendly will be an employee-centric company. Job seekers will not only love to be a part of such a company but will also be loyal, making them great hires.It’s becoming incredibly challenging to find qualified applicants. Employers have to do everything to make sure they land the right candidate. Having a mobile-friendly application process and advertising them is one of the easier ways to draw talent. Who knows, it might even give you an edge over your competition who is yet to enter the race of mobile-friendly application processes.

#5 Leverage an ATS for quick screening

Many ATSs can parse a resume, capture key information from it, and populate it in the corresponding fields of an application form when the candidate uploads the resume. This shortens the time required to complete the application form as most of the fields are already filled.However, it is important to choose the right ATS tool as many of them tend to map the details to the wrong fields. Instead of making the application process simpler, it becomes an unwanted chore as the candidates have to remove the pre-filled information and then enter their details manually.
Also, read: Remote Work & Recruitment: An ATS Story

#6 Keep your talent pool warm

Segregate previously rejected candidates or candidates who were not a good fit for that role into talent pools. A talent pool contains all the important details about the candidate, such as potential roles they could fill, their skills, personal details, etc. When you put job seekers into these talent pools, you don’t have to start the recruiting process from scratch next time an opening comes up. Just search this talent pool for qualified candidates and contact them directly for an interview.It is easier to keep them engaged by sending them company updates and open roles to keep your company top of mind.

Conclusion

By making your application process mobile-friendly, job seekers are more likely to convert into your applicants. And when the pool of applicants widens for a job opening, you automatically ensure that you have access to top talent in an increasingly competitive job ecosystem.

Role of AI In Hiring Software Engineers

Artificial intelligence has generated a lot of buzz lately. Popular AI techniques like computer vision and object recognition have revolutionized the scope of working across healthcare, science, retail, and education to improve the accuracy of success.

More than just a supercomputer generation, AI recreated human capabilities in machines. Nowadays, AI-powered software is used to automate the daily set of business operations and ease product hassles of departmental stakeholders. One of the departments for which AI works wonders is human resources (HR).

Many recruiters and HR professionals have decided to transcend into an AI mechanism for better optimization of business assets and growth. In practice, some have already integrated artificial intelligence software with their existing tech stack and employed a better-qualified workforce without stretching their budget or time.

Hiring a qualified candidate for any important role demands cross-communication and the correct exchange of information. Invest in a viable talent intelligence software that can help strategize your candidate sourcing for maximum engagement and conversions.

How does AI-based recruitment solve hiring challenges?

The entire office suffers when talented employees leave. Never mind the cost of hiring, onboarding, and upskilling a new member. Having a talented coworker leave increases the risk of employee attrition and a questionable reputation.

As the great resignation continues, many companies are turning to AI-driven HR software to increase retention rates and reduce costs. Looking beyond the conventional HR practices and managing every part of the software engineer lifecycle is a key to increasing talent acquisition margin.

Many modern and secure AI recruitment solutions easily connect the dots between companies and suitable candidates for particular job roles. In some cases, Data-driven recruiting and HR analytics use tangible company analysis and skills insights to solve recurring recruitment challenges and create high-quality talent pipelines.

All in all, AI fights employee turnovers for the better and optimizes recruitments to increase employment opportunities.

Also read: Common virtual recruiting pitfalls and how to avoid them

Components of an AI recruitment strategy for software engineers

How can AI-based recruitment Streamline the Talent Acquisition Process?

Hiring activities of a company are mainly outsourced to third-party AI recruitment agencies that run machine learning-based algorithmic expressions on candidate profiles. ML algorithms are pre-trained on massive datasets that increase the candidate selection efficiency and reduce the endless sifting and browsing of resumes.

Let’s look at how AI skills up the candidate game of a particular company in detail :

  • Pre-screening chatbots: AI conversational chatbots can bridge the gap between the recruiter and the applicant. It replaces the “recruiter phone screen” stage in the hiring process and screens candidates with a human touch. Built with evolving NLP technology, it screens a candidate’s ability to fit into their contesting roles by recognizing their pattern of communication.
  • Resume parser: The resume parser scans candidate resumes and social media profiles to analyze their experience and education. It generates specific codes and parses information according to the organization’s competitive shortlisting guidelines. It also categorizes a few samples for further processing and internally sorts them to produce the required output.
  • Filtering: The resume samples are further filtered based on custom criteria of age, background, qualification, etc., and forwarded to the concerned team. This candidate data can be stored in the cloud using reliant blockchain technology. The samples are clustered together to obtain a small set of profiles submitted for final evaluation.
  • Automated panel assignment: As the profiles finalize, an automated evaluator panel is assigned to individual candidates for further screening. Softwares such as Greenhouse recruiting and Skillate help connect evaluators with candidates for additional rounds of interviews. Such cloud-based solutions aid in faster execution of interview rounds and declaration of results while saving up time and effort.
  • Automated candidate assessment: Candidates usually appear for a pre-assembled cognitive aptitude test to check their cross-skill ability. Now companies are preparing these tests using AI writing tools that curate extremely logical questions to test candidates’ reasoning ability.
  • Automated candidate scoring: After the test, the machine learning algorithm analyzes the correctness of every answer and populates an unbiased and trustworthy score. It recommends the score to the assigned panel, who then amends it to a normalized score.
  • Personalized campaigns: Given the success of candidate evaluation, the system rolls out offer letters to selected software engineers with a note of personalization to make them feel connected and satisfied with their achieved milestone.
  • Dashboard and analytics: Advanced reports track every stage of the recruitment funnel and provide data-driven metrics regarding hiring campaigns to optimize future outreaches.

Investment funding to build better AI recruitment solutions

The potential of AI recruitment has been witnessed by different stakeholders and investors around the globe. A considerable percentage of the workforce operating in large software industries has witnessed this transition successfully and opened doors for new funding opportunities.

B2B SaaS companies like XOPA, a Singapore-based AI recruitment platform, announced $4.2 million Series A funding led by ICCP SBI Venture Partners. Phenom, another global HR technology company, raised over 100 M in series D funding, giving it a valuation of over 1 billion! This drastic revolution has impacted the decision-making of top investors and funders for better ROIs.

Meeting the tight budgets of a particular organization and easing the hiring stress on the HR professionals has made artificial intelligence more portable for employment.

Challenges of using AI in recruitment

Ethical concerns and bias

One of the most significant challenges in adopting AI for recruitment is the potential for bias and ethical concerns. AI algorithms rely on historical data, which can contain biases related to race, gender, or socioeconomic factors. If not carefully managed, AI systems can perpetuate these biases, leading to unfair and discriminatory hiring practices. It’s crucial for organizations to implement strict ethical guidelines and continuously monitor AI systems to mitigate these risks.

Data privacy and security

AI in recruitment relies heavily on collecting and processing vast amounts of candidate data, including personal information. Ensuring the privacy and security of this data is paramount. Organizations must comply with data protection regulations and invest in robust cybersecurity measures to prevent data breaches and protect candidates’ sensitive information.

Skill gap and training

Implementing AI in recruitment requires the upskilling of HR professionals and recruiters. Many organizations face challenges in providing adequate training to their staff to effectively use AI tools and technologies. Bridging the skill gap and ensuring that the recruitment team is proficient in utilizing AI systems is essential for successful implementation.

Transparency and explainability

AI algorithms can sometimes be seen as “black boxes” where decisions are made without clear explanations. Lack of transparency and explainability in AI-driven recruitment processes can lead to distrust among candidates and employees. To address this challenge, organizations need to ensure that their AI systems are transparent, and decisions can be explained to candidates and stakeholders.

Finding the balance between automation and human insight

Finding the right balance between AI-driven automation and human judgment can be challenging. While AI can streamline and enhance many aspects of recruitment, it should complement, not replace, the expertise of human recruiters. Ensuring that AI augments human decision-making rather than substituting it is a key challenge for organizations embracing AI in recruitment.

By addressing these challenges effectively, organizations can harness the benefits of AI in recruitment while maintaining ethical standards, data security, and the human touch necessary for successful talent acquisition.

The promise of a better-engineered workforce

AI is a cue card to a tech-optimized future of recruitment. It is the ultimate go-to that can help build an employer’s brand faster and recruit a skilled workforce.

Not just recruitment, AI can seamlessly automate, manage and scale your workforce planning and payroll management to diversify business outcomes and set a new trajectory for sustainable growth. It can be your strength to navigate through the complexities of the new world order and ignite a light of empathy in an otherwise computerized recruitment process.

Technology Skills Gap: Definition, Analysis and Steps to Close

The skills gap is real. There’s no way around it and it has only been increasing exponentially. Nearly one-third of employers surveyed in the Future Of Work 2022 report by Monster agree that the IT skills gap has increased from a year ago. 87% of employers say they have trouble finding qualified talent as a result. Also, the acceleration of remote/hybrid work and the heavy dependence on technology has led to different and newer skills being required from employees and employers alike. A McKinsey study shows respondents leaning toward skill-building as the best way to close the skill gaps rampage in this industry. Social and emotional skills like empathy, compassion, and adaptability have been spotlighted. The need to address the skills gap is more urgent than ever. Building a future-ready workforce begins with skill transformations—providing opportunities for your employees to upskill continuously so they are better prepared to handle the rapid changes the tech industry is known for. Wondering where to start? You’re in the right place. In this article, we see what an IT skills gap means, how to identify skills gaps, how to perform a skills gap analysis, and strategies for upskilling your employees. Read on 🙂

What is technology skill gap?

Why is there a skills gap

It’s an exciting time to be a software developer. Changes are taking place not only in advanced technologies like net development machine learning, AI, and data science, but also in how we work, emphasizing soft skills like communication, understanding, and adaptability. But here’s the catch—for software development teams to remain in step with the rapid changes in the industry, they must place upskilling at the center of their strategic approach. Over 50% of employees say their employer doesn’t understand their current capabilities. This leads to employers offering the wrong kinds of training or worse, offering no training at all. Before you know it, there will be too big a gap between required and needed skills; productivity will take a hit and employees will feel demotivated. To put it simply, you have a skills gap problem on your hands. A technology skills gap is when your existing workforce’s skill set doesn’t align with the skills they need to do their jobs. How do we bridge this? By conducting a skills gap analysis on an individual, departmental, or company-wide level at periodic intervals. The results of this technology skills gap analysis will help inform training requirements, employee development plans, and hiring strategies.

Also, read: What Top Developers Are Looking For In Their Next Job: A Data-Backed Answer

IT skills gap analysis: A definition

Rapid digitization in the tech industry means that certain jobs will disappear due to automation, while others will change in terms of their core tasks and responsibilities. You should also factor in all the changes brought about by the remote/hybrid work models of today. This is where the IT skills gap widens and job descriptions evolve to better suit work requirements. Enter skills gap analysis—think of it as a planning tool to ensure that your tech team is equipped to meet the demands of your organization as well as adapt to the ever-changing needs of the tech industry. You, as a manager, can uncover gaps in your tech teams, organize employee training plans, and set career development goals. Assess the employee’s (in this case, the developer’s) ability to perform each task to a required level. Determine what skills and knowledge are currently missing in your development teams and which of those skills are essential for your organization’s performance. Then curate individual learning and upskilling paths for each developer on the team.

How to perform a skills gap analysis

How to perform a skills gap analysis

Now that we’ve discussed what an IT skills gap analysis is, and why it’s important, let’s dive into how to conduct one:

Define the skills needed for a particular job description

Before you get started with upskilling and training programs for your teams, it’s crucial to decide the scope of your skills gap analysis. If it is at the individual level, then you need to evaluate each employee’s skills against the existing job description of their roles. If it is at a team/company level, focus on whether the team detail-oriented and has the required skills to complete an upcoming project. We are delving into the individual skill sets of in-house developers in this article so that would be the scope of the analysis here. In this case, team leads can help you with uncovering the skills gaps of the individual employees in their respective departments. Based on these findings, you can formulate a tentative plan of action that narrows down the skills gap at your company.

Also, read: Streamline Your Recruitment Process With These 7 Tips

Track market trends to identify key “future skills”

Keep an eye on key trends in the tech industry and what type of skills come to the forefront in 5 or 10 years. This will help you set your target range of skills needed accurately. Make use of skills identification software as a helpful starting point to map the relevant target skills. With the tech industry rapidly evolving, developers and companies alike need to stay abreast of the latest technologies, languages, and advancements in their fields to remain competitive. Evaluate and determine the skills you will need in the future by answering these questions:

  • Which jobs could become automated?
  • What skill sets are currently on the rise?
  • Which currently (not yet defined roles) will your company need?
  • What new skills would our employees need to do their jobs well in the future?
  • Does the hiring process align with our new skills requirements?

Rank your target skill sets by the level of importance. Assign a numerical value between one and ten for each:

  • Level of importance (1-10)
  • Level of proficiency in skill required (1-10)

Use this rating as your baseline when measuring your employees’ current skills.

Also, read: Building Future-Ready Tech Teams

Review the current skills of your employees

Identifying your target set of skills will help you to determine your “distance” to those skills. Now that you have your ratings in place, the next step is to evaluate where the skills gaps lie. To measure individual skill levels, you could use:

  • Employee surveys
  • Skills assessments
  • Interviews with employees
  • Feedback from 360-degree performance reviews
  • Analysis of KPIs for teams and individuals

HR technology for skills management like HRSG, 15Five, Kahuna, Skills DB Pro, and TrakStar can make a skills gap analysis much less time-consuming.

Use data to plan for and close the IT skills gap

By now, you will have a comprehensive list of skills gaps that need to be addressed. Generally, skills gaps are addressed by a combination of two methods: training and hiring. #1 Training to close the skills gap – Assess your employees and create individual learning paths for them that focus on the areas that you’re looking to upskill. Once you have a plan in place, provide the resources to train your employees. The right training can help you close gaps between current and desired skill levels. You can offer:

  • Team-level workshops
  • Employee mentorship programs
  • External certification courses
  • Employee skills assessments
  • Internal hackathons

We’ve discussed them at length in the next section of this article. #2 Hiring to close the skills gap – If your skills gaps are too expansive to minimize with training, consider hiring contingent workers to bring new knowledge and skills into your company. Up your hiring game by:

  • Incorporating rigorous screening of candidates for skills your company needs, into your hiring process. You can use pre-employment coding assessments to ensure your candidates are a good fit for the team.
  • Sourcing passive candidates via social recruiting when hiring for niche skills. Use Boolean search strings for better results. Recruiters need to think outside the box if they want to hire the best talent out there.

Also read: The Ultimate Guide To Social Recruiting

Make the IT skills gap analysis an ongoing activity

Solving the skills gap will only work out when you act on the data from the skills gap analysis and insights and bake it into your team objectives. You have to run the analysis on an ongoing basis for it to have maximum impact. Effectively, that means ensuring you build these insights into your approach for talent acquisition, talent reviews, and succession planning, as well as, of course, reskilling, upskilling, and career planning.

What are the reasons for skill gaps within a tech team?

Rapid pace of technological advancements: The tech industry is ever-evolving, with new tools, languages, and methodologies emerging regularly. Training and education systems sometimes struggle to keep pace with these rapid changes, resulting in graduates who might not be equipped with the latest skills.

Mismatched expectations: Companies often seek “unicorns” – candidates who are experts in multiple domains. This unrealistic expectation can create perceived skill gaps when, in reality, specialists with deep knowledge in specific areas are available.

Education system limitations: Traditional education systems might not always align with industry needs. They sometimes emphasize theoretical knowledge over practical, hands-on experience, leading to graduates who understand concepts but lack practical application skills.

Lack of on-the-job training: Companies that don’t invest in continuous training for their employees risk widening the skills gap. As technologies advance, without regular upskilling, even experienced professionals can find their skills becoming obsolete.

Geographical disparities: Tech hubs like Silicon Valley might have a surplus of specific skills, while other regions may face shortages. Companies not open to remote work might find it challenging to bridge this geographical skills gap.

Addressing the tech hiring skills gap requires a multifaceted approach, combining revamped education strategies, realistic hiring expectations, and consistent on-the-job training.

Closing the gap: How to upskill your in-house development team

There is one answer that stands out when asked how to close the skills gap—upskilling. 67% of Indian respondents say their organizations are prioritizing skill-building as reported by McKinsey. Now on to the next question; what specific upskilling methods can you add to best equip your developers with the skills of the future? Here is a mix of internal and external training programs that you could rely on to do the job:

Team-level workshops

Organize internal workshops for all your tech teams at reasonable intervals during which someone from each team shares their knowledge, tips, and tricks for how they resolved some problems. You could also ask them to prepare a presentation and quiz the developers attending these sessions to increase their participation. Another option would be to bring in professional training firms that hold seminars and provide hands-on experience for your developers. Asking industry experts to come and conduct workshops at your company would be a highly engaging and informative experience for your tech teams.

Employee mentorship programs

Pair senior and more experienced developers with freshers so they can pass on their knowledge to them. They can guide and teach junior developers, which also increases teamwork and knowledge transfer. A smart workplace mentoring program improves culture, keeps new hires engaged, and provides a supportive environment for learning.

External certification courses

Set aside a budget for external training courses. Encourage your teams to do courses on Udemy or Coursera that also hand out certificates on completion of the course. There are a variety of courses available for developers to upskill in or learn new skills like Full-stack, DevOps, Blockchain, and so on.

Employee skills assessments

This is where HackerEarth steps in. To be ready for the future is to be intentional about the steps you take right now. As an organization focused on driving innovation continuously, you have to start with your employees. Nurture them, engage them, and provide them with ample opportunities to upskill or re-skill at every stage of their career. HackerEarth’s L&D platform helps employees to assess themselves and identify skills gaps. Once these are defined, you can then curate individual learning pathways that will help your team upskill, grow and be ready for future challenges in the ‘present’. Continuously run employee skills assessments across 41+ programming languages and 80+ skills, and analyze progress with insight-rich reports provided by our platform. You can effortlessly benchmark your tech team’s performance and track their growth.

Also, read: How To Create An Automated Assessment With HackerEarth

Internal hackathons

Keeping your team sufficiently engaged given that everybody is working remotely is crucial for productivity. Our internal hackathons bring different teams together to enhance cross-team collaboration and participate in real-world challenges to brush up on their skills. Doing this will help close the gaps between their current skill level and your desired skill level. Also, your employees are more likely to stick with you because you are investing in their career development and coming up with creative solutions to keep them engaged.

Also read: What Makes Us The Tech Behind Great Tech Teams

Building An Employer Brand: Everything You Need To Know

The future is now!

Every aspect of handling a business has seen a significant change in recent years and quite a lot of it is due to a storm of post-COVID technological advancements. From AI, and machine learning, to HR tech, every aspect of running a business is being revolutionized.

The recruitment industry is no different – the strategies used by HR professionals to recruit skilled candidates are currently seeing a massive change. Not all of it is tech-related; quite a lot of the changes are about employing new and impactful strategies to engage talent.

In short – this is about employer branding!

But what is employer branding in recruitment?

A relatively new concept that is making the rounds. It’s a key factor to help brands remain influential and maintain a good reputation among consumers and potential employees alike.

In fact, reputation matters so much that, according to a 2017 study, 67% of men and 86% of women in the US will not join a company with a poor reputation. Furthermore, do bear in mind that recruitment is fast becoming more like marketing. Hence, using the same strategies for employment branding is now becoming an essential part of the hiring process.

Marketing + employer branding… but why?

The answer is simple, to attract the best talent there is. With start-ups popping up around every corner complementing the high scarcity of skilled candidates, recruiters are forced to re-strategize and adopt new strategies.

As a recruiter, you must understand one thing, treat candidates like you would treat a customer and the job role is the product you are offering them. This can be done with a great recruitment strategy and employer branding.

Multiple top-tier brands have already adopted this strategy. For example, Starbucks has quite successfully created a great work environment. They use their social media handles to let the world know how good their employees are.

Additionally, they also have a separate social media handle to connect and interact with job seekers. This is a great example of an employer brand.

Employer Brand: A Definition

The term “employer brand” is used to define an organization’s reputation from the perspective of potential candidates/employees and is also used to convey the brand’s values and how they treat its employees.

Employer branding refers to the process of how an employer brand is made and maintained.

Employer branding has a direct impact on recruitment numbers as brands with a good reputation attract and retain more employees. Furthermore, they’ll also witness a significant increase in employee satisfaction as compared to brands with poor reputation.

As per TalentLyft, around 83% of employed individuals will quit their current job if they get an offer from another organization with a better reputation. This clearly shows how important employer branding is.

How Building An Employer Brand Will Help Your Business

When recruitment branding strategies are a huge part of the recruitment process, it comes as no surprise that there are a slew of benefits that follow. From attracting and retaining top talent to boosting your organization’s performance, there are many.

But it will all only come together when you implement an effective recruitment branding strategy. Mentioned below are a few pointers on how to build a strong employer brand.

Low Cost Of Hiring

As per these statistics by LinkedIn, you can reduce your organization’s cost-per-hire by a whopping 50%.

If you’re thinking it may also reduce the quality of candidates, in the same report you can also see that a good employer branding strategy attracts more qualified candidates. Taking simple steps such as letting everyone know about your workplace values through social media posts and similar activities can go a long way in attracting top talent without much investment.

Also Read: The Ultimate Guide To Social Recruiting

Better Chances Of Attracting Top Talent

A follow-up to the previous point, a good employer branding strategy makes it easy for recruiters to connect with skilled and exemplary candidates.

Typically, a lot of effort and resources would go into attracting, hiring, and retaining top talent, but the winds are changing direction now. By creating a good employer brand you can attract top talent without hassle. All it takes is maintaining a positive work culture and letting people know about it.

Improved Retention

Employer branding isn’t only used for attracting top talent, it is also used to improve retention rates and decrease employee turnover rates.

By bonding with potential employees during the hiring process, you’re promoting a good level of engagement with the brand and when employees are engaged/interactive, it boosts productivity levels as well.

Increased productivity also means decreased employee turnover rates and improved retention rates.

More Brand Credibility

With a great employer branding strategy, the brand’s credibility improves as well. It’s common knowledge that customers would not like to interact with brands that have a bad reputation. This means if you want customers to interact with your brand, you need credibility.

When you employ a good employer branding strategy, it can create a ripple effect in boosting the brand’s credibility.

Boost Organization’s Performance

When a brand has a good reputation, people are more likely to interact with them and buy its products/services. But the same cannot be said for brands with a negative reputation. Let’s take Apple, for example. A big brand with a great name managed to besmirch its name briefly due to a scandal, where they purposely slowed down old versions of iPhones and this negatively impacted their brand name and business.

In 2017, as reported by LinkedIn, it was seen that brands with great employer branding saw their revenue increase by 20% and this speaks volumes.

Tips To Build An Employer Brand

If you want to build an effective employer brand, then remember, it’s the small things that matter most. For instance, you should give employee reviews the same attention you give customer reviews. Similarly, there are other things you can do to improve employee experience and become a great employer brand.

  • Build a delightful hiring process

If you want the best candidates to join your organization, you need to have a good hiring process. When the recruitment process is enjoyable and engaging for the candidate, the enthusiasm is carried over when they’re hired and this improves employee performance and increases retention rates as well.

You must make the candidate feel valued. Apart from using HR tech tools, there are other things you can do to make the process delightful as well:

Employer branding strategy
  • Pay attention to employee experience

Among the most important points, always pay attention to employee experience as it matters a great deal. The experience of the employee always affects engagement with other employees. With good employee experience, you can see improved engagement levels, and good engagement levels translate to higher productivity.

Furthermore, employee experience also affects retention rates, if employee experience isn’t up to the mark then employees will start to quit, thus increasing employee turnover rates. But with positive employee experience, retention rates will improve.

  • Providing perks that matter to the employee

Employee benefits and perks are crucial. Your employees need to feel rewarded for everything they’re doing for the organization. As per this report by Aflac, nearly 49% of employees look for new job opportunities if their current employee benefits and perks aren’t satisfactory.

Benefits and perks, typically, are extended to the employees’ families as well, covering everything from health to financials. Perks are a little different than benefits, perks are added benefits and brands nowadays are leaning toward offering several great perks like flexible working hours, work-from-home options, and other similar benefits.

Let’s take Google, for example. They’re known for offering great employee perks like flexible work schedules to building in-house gyms for employees. They also offer sleep pods for employees to take power naps and this is just the tip of the iceberg.

With work-from-home taking over, the perks offered are even more attractive, like, lack of micro-management, hybrid working options, options to choose your login and logout timings, live workout sessions, free food delivery coupons, and much more.

With great perks

… how great is that?

  • Offer learning and development opportunities

The opportunity to learn and grow is a major deciding factor for candidates when they’re on the hunt for a job. As per a 2020 survey by Stack Overflow, it was seen that 59% of candidates are looking for an opportunity to learn and develop their skills as well.

In addition to that, when you ask employees to learn and develop additional skills, they are engaged and they also cement their place as valuable assets who deliver quality great results.

  • Align your Employer Branding Strategy with Overall Brand Strategy

Remember Employer Brand and Corporate Brand are two different sides of the same coin. A corporate brand’s main aim is to increase sales and bring in revenue, whereas, an employer brand maintains focus on the recruitment and retention of employees.

Employer branding strategy involve understanding if the workplace is good enough for employees, introducing inclusive policies, and looking out for barriers in the recruitment process. So to get the best result, it is important to align their objectives and prioritize both of them equally. If they aren’t, then it could affect your recruitment process as well as your business operations.

  • Seek the expertise of the marketing team

As previously mentioned, recruitment has become more like marketing in recent years and it only makes sense to take the guidance of marketing experts.

You should be able effectively to market the job role and the brand to potential employees and candidates. Incorporating content based marketing into your strategy ensures that your efforts respect candidate preferences while building trust and transparency. With the help of a marketing team, you can do the same in the most effective manner.

With strong competition on the rise, an effective marketing strategy aligned with your recruitment goals will help you attract and hire top talent.

  • Monitor employee reviews as much as customer reviews

Just like a customer who reviews products online before purchasing them, people research brands before sending over their job applications.

The best way to know about a brand’s workplace environment is to read online reviews of the same. Of course, getting a positive review from every employee (past or present) may be impossible but how you respond to them also tells a lot about your brand’s values.

On the off chance you come across a credible negative review, make sure you address it.

Building an employment brand is as important as building your organization’s corporate brand. If you can recruit top talent then the success of your corporate brand increases as well.

6 Tips for better employer branding

How HackerEarth can help build an employer brand

  • Innovative assessment tools: HackerEarth’s cutting-edge assessment tools enable companies to showcase their commitment to hiring the best talent through merit and skill, reinforcing the image of a quality-focused employer.
  • Enhanced candidate experience: The platform’s user-friendly interface and efficient process enhance the candidate experience, reflecting positively on the employer’s brand.
  • Customizable challenges: By offering customizable coding challenges and skill assessments, HackerEarth allows companies to align their recruitment process with their brand ethos and values.
  • Global reach: The ability to reach a wide, global talent pool with HackerEarth’s platform showcases a company’s international presence and appeal, enhancing its brand image.
  • Data-driven insights: The platform provides data-driven insights into the hiring process, showcasing the employer’s commitment to transparency and informed decision-making.
  • Diversity and Inclusion: By facilitating unbiased and skill-based assessments, HackerEarth helps companies in promoting diversity and inclusivity, which are key aspects of a modern employer brand.
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AI In Recruitment: The Good, The Bad, The Ugly

Artificial Intelligence (AI) has permeated virtually every industry, transforming operations and interactions. The tech recruitment sector is no exception, and AI’s influence shapes the hiring processes in revolutionary ways. From leveraging AI-powered chatbots for preliminary candidate screenings to deploying machine learning algorithms for efficient resume parsing, AI leaves an indelible mark on tech hiring practices.

Yet, amidst these promising advancements, we must acknowledge the other side of the coin: AI’s potential malpractices, including the likelihood of cheating on assessments, issues around data privacy, and the risk of bias against minority groups.

The dark side of AI in tech recruitment

Negative impact of AI

The introduction of AI in recruitment, while presenting significant opportunities, also brings with it certain drawbacks and vulnerabilities. Sophisticated technologies could enable candidates to cheat on assessments, misrepresent abilities and potential hiring mistakes. This could lead to hiring candidates with falsifying skills or qualifications, which can cause a series of negative effects like:

  • Reduced work quality: The work output might be sub-par if a candidate doesn’t genuinely possess the abilities they claimed to have.
  • Team disruptions: Other team members may have to pick up the slack, leading to resentment and decreased morale.
  • Rehiring costs: You might have to let go of such hires, resulting in additional costs for replacement.

Data privacy is another critical concern

Your company could be left exposed to significant risks if your AI recruiting software is not robust enough to protect sensitive employee information. The implications for an organization with insufficient data security could be severe such as:

  • Reputational damage: Breaches of sensitive employee data can damage your company’s reputation, making it harder to attract clients and talented employees in the future.
  • Legal consequences: Depending on the jurisdiction, you could face legal penalties, including hefty fines, for failing to protect sensitive data adequately.
  • Loss of trust: A data breach could undermine employee trust in your organization, leading to decreased morale and productivity.
  • Financial costs: Besides potential legal penalties, companies could also face direct financial losses from a data breach, including the costs of investigation, recovery, and measures to prevent future breaches.
  • Operational disruption: Depending on the extent of the breach, normal business operations could be disrupted, causing additional financial losses and damage to the organization’s reputation.

Let’s talk about the potential for bias in AI recruiting software

Perhaps the most critical issue of all is the potential for unconscious bias. The potential for bias in AI recruiting software stems from the fact that these systems learn from the data they are trained on. If the training data contains biases – for example, if it reflects a history of preferentially hiring individuals of a certain age, gender, or ethnicity – the AI system can learn and replicate these biases.

Even with unbiased data, if the AI’s algorithms are not designed to account for bias, they can inadvertently create it. For instance, a hiring algorithm that prioritizes candidates with more years of experience may inadvertently discriminate against younger candidates or those who have taken career breaks, such as for child-rearing or health reasons.

This replication and possible amplification of human prejudices can result in discriminatory hiring practices. If your organization’s AI-enabled hiring system is found to be biased, you could face legal action, fines, and penalties. Diversity is proven to enhance creativity, problem-solving, and decision-making. In contrast, bias in hiring can lead to a homogenous workforce, so its absence would likely result in a less innovative and less competitive organization.

Also read: What We Learnt From Target’s Diversity And Inclusion Strategy

When used correctly, AI in recruitment can take your hiring to the next level

How to use AI during hiring freeze

How do you evaluate the appropriateness of using AI in hiring for your organization? Here are some strategies for navigating the AI revolution in HR. These steps include building support for AI adoption, identifying HR functions that can be integrated with AI, avoiding potential pitfalls of AI use in HR, collaborating with IT leaders, and so on.

Despite certain challenges, AI can significantly enhance tech recruitment processes when used effectively. AI-based recruitment tools can automate many manual recruiting tasks, such as resume screening and interview scheduling, freeing up time for recruiters to focus on more complex tasks. Furthermore, AI can improve the candidate’s experience by providing quick responses and personalized communications. The outcome is a more efficient, candidate-friendly process, which could lead to higher-quality hires.

Let’s look at several transformational possibilities chatbots can bring to human capital management for candidates and hiring teams. This includes automation and simplifying various tasks across domains such as recruiting, onboarding, core HR, absence management, benefits, performance management, and employee self-service resulting in the following:

For recruiters:

  • Improved efficiency and productivity: Chatbots can handle routine tasks like responding to common inquiries or arranging interviews. Thereby, providing you with more time to concentrate on tasks of strategic importance.
  • Enhanced candidate experience: With their ability to provide immediate responses, chatbots can make the application process more engaging and user-friendly.
  • Data and insights: Chatbots can collect and analyze data from your interactions with candidates. And provide valuable insights into candidate preferences and behavior.
  • Improved compliance: By consistently following predefined rules and guidelines, chatbots can help ensure that hiring processes are fair and compliant with relevant laws and regulations.
  • Cost saving: By automating routine tasks for recruiters, chatbots can help reduce the labor costs associated with hiring.

Also read: 5 Steps To Create A Remote-First Candidate Experience In Recruitment

How FaceCode Can Help Improve Your Candidate Experience | AI in recruitment

For candidates:

Additionally, candidates can leverage these AI-powered chatbots in a dialog flow manner to carry out various tasks. These tasks include the following:

  • Personalized greetings: By using a candidate’s name and other personal information, chatbots can create a friendly, personalized experience.
  • Job search: They can help candidates search for jobs based on specific criteria.
  • Create a candidate profile: These AI-powered chatbots can guide candidates through the process of creating a profile. Thus, making it easier for them to apply for jobs.
  • Upload resume: Chatbots can instruct candidates on uploading their resume, eliminating potential confusion.
  • Apply for a job: They can streamline the application process, making it easier and faster for candidates to apply for jobs.
  • Check application status: Chatbots can provide real-time updates on a candidate’s application status.
  • Schedule interviews: They can match candidate and interviewer availability to schedule interviews, simplifying the process.

For hiring managers:

These can also be utilized by your tech hiring teams for various purposes, such as:

  • Create requisition: Chatbots can guide hiring managers through the process of creating a job requisition.
  • Create offers: They can assist in generating job offers, ensuring all necessary information is included.
  • Access requisition and offers: Using chatbots can provide hiring managers with easy access to job requisitions and offers.
  • Check on onboarding tasks: Chatbots can help track onboarding tasks, ensuring nothing is missed.

Other AI recruiting technologies can also enhance the hiring process for candidates and hiring teams in the following ways:

For candidates:

  1. Tailor-made resumes and cover letters using generative AI: Generative AI can help candidates create custom resumes and cover letters, increasing their chances of standing out.
  2. Simplifying the application process: AI-powered recruiting tools can simplify the application process, allowing candidates to apply for jobs with just a few clicks.
  3. Provide similar job recommendations: AI can analyze candidates’ skills, experiences, and preferences to recommend similar jobs they might be interested in.

For recruiters:

  • Find the best candidate: AI algorithms can analyze large amounts of data to help you identify the candidates most likely to succeed in a given role.
  • Extract key skills from candidate job applications: Save a significant amount of time and effort by using AI-based recruiting software to quickly analyze job applications to identify key skills, thereby, speeding up the screening process.
  • Take feedback from rejected candidates & share similar job recommendations: AI can collect feedback from rejected candidates for you to improve future hiring processes and recommend other suitable roles to the candidate.

These enhancements not only streamline the hiring process but also improve the quality of hires, reduce hiring biases, and improve the experience for everyone involved. The use of AI in hiring can indeed take it to the next level.

Where is AI in recruitment headed?

AI can dramatically reshape the recruitment landscape with the following key advancements:

1. Blockchain-based background verification:

Blockchain technology, renowned for its secure, transparent, and immutable nature, can revolutionize background checks. This process which can take anywhere from between a day to several weeks today for a single recruiter to do can be completed within a few clicks resulting in:

  • Streamlined screening process: Blockchain can store, manage, and share candidates’ credentials and work histories. Thereby speeding up the verification and screening process. This approach eliminates the need for manual background checks. And leads to freeing up a good amount of time for you to focus on more important tasks.
  • Enhanced trust and transparency: With blockchain, candidates, and employers can trust the validity of the information shared due to the nature of the technology. The cryptographic protection of blockchain ensures the data is tamper-proof, and decentralization provides transparency.
  • Improved data accuracy and reliability: Since the blockchain ledger is immutable, it enhances the accuracy and reliability of the data stored. This can minimize the risks associated with false information on candidates’ resumes.
  • Faster onboarding: A swift and reliable verification process means candidates can be onboarded more quickly. Thereby, improving the candidate experience and reducing the time-to-hire.
  • Expanded talent pool: With blockchain, it’s easier and quicker to verify the credentials of candidates globally, thereby widening the potential talent pool.

2. Immersive experiences using virtual reality (VR):

VR can provide immersive experiences that enhance various aspects of the tech recruitment process:

  • Interactive job previews: VR can allow potential candidates to virtually “experience” a day i.e., life at your company. This provides a more accurate and engaging job preview than traditional job descriptions.
  • Virtual interviews and assessments: You can use VR to conduct virtual interviews or assessments. You can also evaluate candidates in a more interactive and immersive setting. This can be particularly useful for roles that require specific spatial or technical skills.
  • Virtual onboarding programs: New hires can take a virtual tour of the office, meet their colleagues, and get acquainted with their tasks, all before their first day. This can significantly enhance the onboarding experience and help new hires feel more prepared.
  • Immersive learning experiences: VR can provide realistic, immersive learning experiences for job-specific training or to enhance soft skills. These could be used during the recruitment process or for ongoing employee development.

Also read: 6 Strategies To Enhance Candidate Engagement In Tech Hiring (+ 3 Unique Examples)

AI + Recruiters: It’s all about the balance!

To summarize, AI in recruitment is a double-edged sword, carrying both promise and potential problems. The key lies in how recruiters use this technology, leveraging its benefits while vigilantly managing its risks. AI isn’t likely to replace recruiters or HR teams in the near future. Instead, you should leverage this tool to positively impact the entire hiring lifecycle.

With the right balance and careful management, AI can streamline hiring processes. It can create better candidate experiences, and ultimately lead to better recruitment decisions. Recruiters should continually experiment with and explore generative AI. To devise creative solutions, resulting in more successful hiring and the perfect fit for every open role.

Looking For A Mettl Alternative? Let’s Talk About HackerEarth

“Every hire is an investment for a company. A good hire will give you a higher ROI; if it is a bad hire, it will cost you a lot of time and money.”

Especially in tech hiring!

An effective tech recruitment process helps you attract the best talents, reduce hiring costs, and enhance company culture and reputation.

Businesses increasingly depend on technical knowledge to compete in today’s fast-paced, technologically driven world. Online platforms that provide technical recruiting solutions have popped up to assist companies in finding and employing top talent in response to this demand.

The two most well-known platforms in this field are HackerEarth and Mettl. To help businesses make wise choices for their technical employment requirements, we will compare these two platforms’ features, benefits, and limitations in this article.

This comparison of Mettl alternative, HackerEarth and Mettl itself, will offer helpful information to help you make the best decision, whether you’re a small company trying to expand your tech staff or a massive organization needing a simplified recruiting process.

HackerEarth

HackerEarth is based in San Francisco, USA, and offers enterprise software to aid companies with technical recruitment. Its services include remote video interviewing and technical skill assessments that are commonly used by organizations.

HackerEarth also provides a platform for developers to participate in coding challenges and hackathons. In addition, it provides tools for technical hiring such as coding tests, online interviews, and applicant management features. The hiring solutions provided by HackerEarth aid companies assess potential employees’ technical aptitude and select the best applicants for their specialized positions.

Mettl

Mettl, on the other hand, offers a range of assessment solutions for various industries, including IT, banking, healthcare, and retail. It provides online tests for coding, linguistic ability, and cognitive skills. The tests offered by Mettl assist employers find the best applicants for open positions and make data-driven recruiting choices. Additionally, Mettl provides solutions for personnel management and staff training and development.

Why should you go for HackerEarth over Mercer Mettl?

Here's why HackerEarth is a great Mettl Alternative!

Because HackerEarth makes technical recruiting easy and fast, you must consider HackerEarth for technical competence evaluations and remote video interviews. It goes above and beyond to provide you with a full range of functions and guarantee the effectiveness of the questions in the database. Moreover, it is user-friendly and offers fantastic testing opportunities.

The coding assessments by HackerEarth guarantee the lowest time consumption and maximum efficiency. It provides a question bank of more than 17,000 coding-related questions and automated test development so that you can choose test questions as per the job role.

As a tech recruiter, you may need a clear understanding of a candidate’s skills. With HackerEarth’s code replay capability and insight-rich reporting on a developer’s performance, you can hire the right resource for your company.

Additionally, HackerEarth provides a more in-depth examination of your recruiting process so you can continuously enhance your coding exams and develop a hiring procedure that leads the industry.

HackerEarth and Mercer Mettl are the two well-known online tech assessment platforms that provide tools for managing and performing online examinations. We will examine the major areas where HackerEarth outperforms Mettl, thereby proving to be a great alternative to Mettl, in this comparison.

Also read: What Makes HackerEarth The Tech Behind Great Tech Teams

HackerEarth Vs Mettl

Features and functionality

HackerEarth believes in upgrading itself and providing the most effortless navigation and solutions to recruiters and candidates.

HackerEarth provides various tools and capabilities to create and administer online tests, such as programming tests, multiple-choice questions, coding challenges, and more. The software also has remote proctoring, automatic evaluation, and plagiarism detection tools (like detecting the use of ChatGPT in coding assessments). On the other side, Mettl offers comparable functionality but has restricted capabilities for coding challenges and evaluations.

Test creation and administration

HackerEarth: It has a user-friendly interface that is simple to use and navigate. It makes it easy for recruiters to handle evaluations without zero technical know-how. The HackerEarth coding platform is also quite flexible and offers a variety of pre-built exams, including coding tests, aptitude tests, and domain-specific examinations. It has a rich library of 17,000+ questions across 900+ skills, which is fully accessible by the hiring team. Additionally, it allows you to create custom questions yourself or use the available question libraries.

Also read: How To Create An Automated Assessment With HackerEarth

Mettl: It can be challenging for a hiring manager to use Mettl efficiently since Mettl provides limited assessment and question libraries. Also, their team creates the test for them rather than giving access to hiring managers. This results in a higher turnaround time and reduces test customization possibilities since the request has to go back to the team, they have to make the changes, and so forth.

Reporting and analytics

HackerEarth: You may assess applicant performance and pinpoint areas for improvement with the help of HackerEarth’s full reporting and analytics tools. Its personalized dashboards, visualizations, and data exports simplify evaluating assessment results and real-time insights.

Most importantly, HackerEarth includes code quality scores in candidate performance reports, which lets you get a deeper insight into a candidate’s capabilities and make the correct hiring decision. Additionally, HackerEarth provides a health score index for each question in the library to help you add more accuracy to your assessments. The health score is based on parameters like degree of difficulty, choice of the programming language used, number of attempts over the past year, and so on.

Mettl: Mettl online assessment tool provides reporting and analytics. However, there may be only a few customization choices available. Also, Mettle does not provide code quality assurance which means hiring managers have to check the whole code manually. There is no option to leverage question-based analytics and Mettl does not include a health score index for its question library.

Adopting this platform may be challenging if you want highly customized reporting and analytics solutions.

Also read: HackerEarth Assessments + The Smart Browser: Formula For Bulletproof Tech Hiring

Security and data privacy

HackerEarth: The security and privacy of user data are top priorities at HackerEarth. The platform protects data in transit and at rest using industry-standard encryption. Additionally, all user data is kept in secure, constantly monitored data centers with stringent access controls.

Along with these security measures, HackerEarth also provides IP limitations, role-based access controls, and multi-factor authentication. These features ensure that all activity is recorded and audited and that only authorized users can access sensitive data.

HackerEarth complies with several data privacy laws, such as GDPR and CCPA. The protection of candidate data is ensured by this compliance, which also enables businesses to fulfill their legal and regulatory responsibilities.

Mettl: The security and data privacy features of Mettl might not be as strong as those of HackerEarth. The platform does not provide the same selection of security measures, such as IP limitations or multi-factor authentication. Although the business asserts that it complies with GDPR and other laws, it cannot offer the same amount of accountability and transparency as other platforms.

Even though both HackerEarth and Mettl include security and data privacy measures, the Mettle alternative, HackerEarth’s platform is made to be more thorough, open, and legal. By doing this, businesses can better guarantee candidate data’s security and ability to fulfill legal and regulatory requirements.

Pricing and support

HackerEarth: To meet the demands of businesses of all sizes, HackerEarth offers a variety of customizable pricing options. The platform provides yearly and multi-year contracts in addition to a pay-as-you-go basis. You can select the price plan that best suits their demands regarding employment and budget.

HackerEarth offers chat customer support around the clock. The platform also provides a thorough knowledge base and documentation to assist users in getting started and troubleshooting problems.

Mettl: The lack of price information on Mettl’s website might make it challenging for businesses to decide whether the platform fits their budget. The organization also does not have a pay-as-you-go option, which might be problematic.

Mettl offers phone and emails customer assistance. However, the business website lacks information on support availability or response times. This lack of transparency may be an issue if you need prompt and efficient help.

User experience

HackerEarth: The interface on HackerEarth is designed to be simple for both recruiters and job seekers. As a result of the platform’s numerous adjustable choices for test creation and administration, you may design exams specifically suited to a job role. Additionally, the platform provides a selection of question types and test templates, making it simple to build and take exams effectively.

In terms of the candidate experience, HackerEarth provides a user-friendly interface that makes navigating the testing procedure straightforward and intuitive for applicants. As a result of the platform’s real-time feedback and scoring, applicants may feel more motivated and engaged during the testing process. The platform also provides several customization choices, like branding and message, which may assist recruiters in giving prospects a more exciting and tailored experience.

Mettl: The platform is intended to have a steeper learning curve than others and be more technical. It makes it challenging to rapidly and effectively construct exams and can be difficult for applicants unfamiliar with the platform due to its complex interface.

Additionally, Mettl does not provide real-time feedback or scoring, which might deter applicants from participating and being motivated by the testing process.

Also read: 6 Strategies To Enhance Candidate Engagement In Tech Hiring (+ 3 Unique Examples)

User reviews and feedback

According to G2, HackerEarth and Mettl have 4.4 reviews out of 5. Users have also applauded HackerEarth’s customer service. Many agree that the staff members are friendly and quick to respond to any problems or queries. Overall, customer evaluations and feedback for HackerEarth point to the platform as simple to use. Both recruiters and applicants find it efficient.

Mettl has received mixed reviews from users, with some praising the platform for its features and functionality and others expressing frustration with its complex and technical interface.

Free ebook to help you choose between Mettl and Mettle alternative, HackerEarth

May the best “brand” win!

Recruiting and selecting the ideal candidate demands a significant investment of time, attention, and effort.

This is where tech recruiting platforms like HackerEarth and Mettl have got you covered. They help streamline the whole process.Both HackerEarth and Mettl provide a wide variety of advanced features and capabilities for tech hiring.

We think HackerEarth is the superior choice. Especially, when contrasting the two platforms in terms of their salient characteristics and functioning. But, we may be biased!

So don’t take our word for it. Sign up for a free trial and check out HackerEarth’s offerings for yourself!

HackerEarth Assessments + The Smart Browser: Formula For Bulletproof Tech Hiring

Let’s face it—cheating on tests is quite common. While technology has made a lot of things easier in tech recruiting, it has also left the field wide open to malpractice. A 2020 report by ICAI shows that 32% of undergraduate students have cheated in some form on an online test.

It’s human nature to want to bend the rules a little bit. Which begs the question, how do you stay on top of cheating, plagiarism, and other forms of malpractice during the assessment process?

How do you ensure that take-home assessments and remote interviews stay authentic and credible? By relying on enhanced virtual supervision, of course!

HackerEarth Assessments has always been one step ahead when it comes to remote proctoring which is able to capture the nuances of candidate plagiarism. The recent advancements in technology (think generative AI) needed more robust proctoring features, so we went ahead and built The HackerEarth Smart Browser to ensure our assessments remain as foolproof as ever.

Presenting to you, the latest HackerEarth proctoring fix - The Smart Browser

Our Smart Browser is the chocolatey version of a plain donut when compared to a regular web browser. It is extra effective and comes packed with additional remote proctoring capabilities to increase the quality of your screening assessments.

The chances of a candidate cheating on a HackerEarth technical assessment are virtually zero with the latest features! Spilling all our secrets to show you why -

1. Sealed-off testing environment makes proctoring simpler

Sealed-off testing environment makes proctoring simpler

To get started with using the Smart Browser, enable the Smart Browser setting as shown above. This setting is available under the test proctoring section on the test overview page.

As you can see, several other proctoring settings such as disabling copy-paste, restricting candidates to full-screen mode, and logout on leaving the test interface are selected automatically.Now, every candidate you invite to take the assessment will only be able to do so through the Smart Browser. Candidates are prompted to download the Smart Browser from the link shared in the test invite mail.When the candidate needs to click on the ‘start test’ button on the launch test screen, it opens in the Smart Browser. The browser also prompts the candidate to switch to full-screen mode. Now, all candidates need to do is sign in and attempt the test, as usual.
Also read: 6 Ways Candidates Try To Outsmart A Remote Proctored Assessment

2. Eagle-eyed online test monitoring leaves no room for error

Eagle-eyed online test monitoring with the smart browser leaves no room for errorOur AI-enabled Smart Browser takes frequent snapshots via the webcam, throughout the assessment. Consequently, it is impossible to copy-paste code or impersonate a candidate.The browser prevents the following candidate actions and facilitates thorough monitoring of the assessment:
  • Screensharing the test window
  • Keeping other applications open during the test
  • Resizing the test window
  • Taking screenshots of the test window
  • Recording the test window
  • Using malicious keystrokes
  • Viewing OS notifications
  • Running the test window within a virtual machine
  • Operating browser developer tools
Any candidate actions attempting to switch tabs with the intent to copy-paste or use a generative AI like ChatGPT are shown a warning and captured in the candidate report.HackerEarth’s latest proctoring fixes bulletproof our assessment platform, making it one of the most reliable and accurate sources of candidate hiring in the market today.
Also read: 4 Ways HackerEarth Flags The Use Of ChatGPT In Tech Hiring Assessments

Experience reliable assessments with the Smart Browser!

There you have it - our newest offering that preserves the integrity of coding assessments and enables skill-first hiring, all in one go. Recruiters and hiring managers, this is one feature that you can easily rely on and can be sure that every candidate’s test score is a result of their ability alone.Curious to try out the Smart Browser? Well, don’t take our word for it. Head over here to check it out for yourself!

We also love hearing from our customers so don’t hesitate to leave us any feedback you might have.

Until then, happy hiring!
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What is Headhunting In Recruitment?: Types &amp; How Does It Work?

In today’s fast-paced world, recruiting talent has become increasingly complicated. Technological advancements, high workforce expectations and a highly competitive market have pushed recruitment agencies to adopt innovative strategies for recruiting various types of talent. This article aims to explore one such recruitment strategy – headhunting.

What is Headhunting in recruitment?

In headhunting, companies or recruitment agencies identify, engage and hire highly skilled professionals to fill top positions in the respective companies. It is different from the traditional process in which candidates looking for job opportunities approach companies or recruitment agencies. In headhunting, executive headhunters, as recruiters are referred to, approach prospective candidates with the hiring company’s requirements and wait for them to respond. Executive headhunters generally look for passive candidates, those who work at crucial positions and are not on the lookout for new work opportunities. Besides, executive headhunters focus on filling critical, senior-level positions indispensable to companies. Depending on the nature of the operation, headhunting has three types. They are described later in this article. Before we move on to understand the types of headhunting, here is how the traditional recruitment process and headhunting are different.

How do headhunting and traditional recruitment differ from each other?

Headhunting is a type of recruitment process in which top-level managers and executives in similar positions are hired. Since these professionals are not on the lookout for jobs, headhunters have to thoroughly understand the hiring companies’ requirements and study the work profiles of potential candidates before creating a list.

In the traditional approach, there is a long list of candidates applying for jobs online and offline. Candidates approach recruiters for jobs. Apart from this primary difference, there are other factors that define the difference between these two schools of recruitment.

AspectHeadhuntingTraditional RecruitmentCandidate TypePrimarily passive candidateActive job seekersApproachFocused on specific high-level rolesBroader; includes various levelsScopeproactive outreachReactive: candidates applyCostGenerally more expensive due to expertise requiredTypically lower costsControlManaged by headhuntersManaged internally by HR teams

All the above parameters will help you to understand how headhunting differs from traditional recruitment methods, better.

Types of headhunting in recruitment

Direct headhunting: In direct recruitment, hiring teams reach out to potential candidates through personal communication. Companies conduct direct headhunting in-house, without outsourcing the process to hiring recruitment agencies. Very few businesses conduct this type of recruitment for top jobs as it involves extensive screening across networks outside the company’s expanse.

Indirect headhunting: This method involves recruiters getting in touch with their prospective candidates through indirect modes of communication such as email and phone calls. Indirect headhunting is less intrusive and allows candidates to respond at their convenience.Third-party recruitment: Companies approach external recruitment agencies or executive headhunters to recruit highly skilled professionals for top positions. This method often leverages the company’s extensive contact network and expertise in niche industries.

How does headhunting work?

Finding highly skilled professionals to fill critical positions can be tricky if there is no system for it. Expert executive headhunters employ recruitment software to conduct headhunting efficiently as it facilitates a seamless recruitment process for executive headhunters. Most software is AI-powered and expedites processes like candidate sourcing, interactions with prospective professionals and upkeep of communication history. This makes the process of executive search in recruitment a little bit easier. Apart from using software to recruit executives, here are the various stages of finding high-calibre executives through headhunting.

Identifying the role

Once there is a vacancy for a top job, one of the top executives like a CEO, director or the head of the company, reach out to the concerned personnel with their requirements. Depending on how large a company is, they may choose to headhunt with the help of an external recruiting agency or conduct it in-house. Generally, the task is assigned to external recruitment agencies specializing in headhunting. Executive headhunters possess a database of highly qualified professionals who work in crucial positions in some of the best companies. This makes them the top choice of conglomerates looking to hire some of the best talents in the industry.

Defining the job

Once an executive headhunter or a recruiting agency is finalized, companies conduct meetings to discuss the nature of the role, how the company works, the management hierarchy among other important aspects of the job. Headhunters are expected to understand these points thoroughly and establish a clear understanding of their expectations and goals.

Candidate identification and sourcing

Headhunters analyse and understand the requirements of their clients and begin creating a pool of suitable candidates from their database. The professionals are shortlisted after conducting extensive research of job profiles, number of years of industry experience, professional networks and online platforms.

Approaching candidates

Once the potential candidates have been identified and shortlisted, headhunters move on to get in touch with them discreetly through various communication channels. As such candidates are already working at top level positions at other companies, executive headhunters have to be low-key while doing so.

Assessment and Evaluation

In this next step, extensive screening and evaluation of candidates is conducted to determine their suitability for the advertised position.

Interviews and negotiations

Compensation is a major topic of discussion among recruiters and prospective candidates. A lot of deliberation and negotiation goes on between the hiring organization and the selected executives which is facilitated by the headhunters.

Finalizing the hire

Things come to a close once the suitable candidates accept the job offer. On accepting the offer letter, headhunters help finalize the hiring process to ensure a smooth transition.

The steps listed above form the blueprint for a typical headhunting process. Headhunting has been crucial in helping companies hire the right people for crucial positions that come with great responsibility. However, all systems have a set of challenges no matter how perfect their working algorithm is. Here are a few challenges that talent acquisition agencies face while headhunting.

Common challenges in headhunting

Despite its advantages, headhunting also presents certain challenges:

Cost Implications: Engaging headhunters can be more expensive than traditional recruitment methods due to their specialized skills and services.

Time-Consuming Process: While headhunting can be efficient, finding the right candidate for senior positions may still take time due to thorough evaluation processes.

Market Competition: The competition for top talent is fierce; organizations must present compelling offers to attract passive candidates away from their current roles.

Although the above mentioned factors can pose challenges in the headhunting process, there are more upsides than there are downsides to it. Here is how headhunting has helped revolutionize the recruitment of high-profile candidates.

Advantages of Headhunting

Headhunting offers several advantages over traditional recruitment methods:

Access to Passive Candidates: By targeting individuals who are not actively seeking new employment, organisations can access a broader pool of highly skilled professionals.

Confidentiality: The discreet nature of headhunting protects both candidates’ current employment situations and the hiring organisation’s strategic interests.

Customized Search: Headhunters tailor their search based on the specific needs of the organization, ensuring a better fit between candidates and company culture.

Industry Expertise: Many headhunters specialise in particular sectors, providing valuable insights into market dynamics and candidate qualifications.

Conclusion

Although headhunting can be costly and time-consuming, it is one of the most effective ways of finding good candidates for top jobs. Executive headhunters face several challenges maintaining the g discreetness while getting in touch with prospective clients. As organizations navigate increasingly competitive markets, understanding the nuances of headhunting becomes vital for effective recruitment strategies. To keep up with the technological advancements, it is better to optimise your hiring process by employing online recruitment software like HackerEarth, which enables companies to conduct multiple interviews and evaluation tests online, thus improving candidate experience. By collaborating with skilled headhunters who possess industry expertise and insights into market trends, companies can enhance their chances of securing high-caliber professionals who drive success in their respective fields.

A Comprehensive Guide to External Sources of Recruitment

The job industry is not the same as it was 30 years ago. Progresses in AI and automation have created a new work culture that demands highly skilled professionals who drive innovation and work efficiently. This has led to an increase in the number of companies reaching out to external sources of recruitment for hiring talent. Over the years, we have seen several job aggregators optimise their algorithms to suit the rising demand for talent in the market and new players entering the talent acquisition industry. This article will tell you all about how external sources of recruitment help companies scout some of the best candidates in the industry, the importance of external recruitment in organizations across the globe and how it can be leveraged to find talent effectively.

Understanding external sources of recruitment

External sources refer to recruitment agencies, online job portals, job fairs, professional associations and any other organizations that facilitate seamless recruitment. When companies employ external recruitment sources, they access a wider pool of talent which helps them find the right candidates much faster than hiring people in-house. They save both time and effort in the recruitment process.

Online job portals

Online resume aggregators like LinkedIn, Naukri, Indeed, Shine, etc. contain a large database of prospective candidates. With the advent of AI, online external sources of recruitment have optimised their algorithms to show the right jobs to the right candidates. Once companies figure out how to utilise job portals for recruitment, they can expedite their hiring process efficiently.

Social Media

Ours is a generation that thrives on social media. To boost my IG presence, I have explored various strategies, from getting paid Instagram users to optimizing post timing and engaging with my audience consistently. Platforms like FB an IG have been optimized to serve job seekers and recruiters alike. The algorithms of social media platforms like Facebook and Instagram have been optimised to serve job seekers and recruiters alike. Leveraging them to post well-placed ads for job listings is another way to implement external sources of recruitment strategies.

Employee Referrals

Referrals are another great external source of recruitment for hiring teams. Encouraging employees to refer their friends and acquaintances for vacancies enables companies to access highly skilled candidates faster.

Campus Recruitment

Hiring freshers from campus allows companies to train and harness new talent. Campus recruitment drives are a great external recruitment resource where hiring managers can expedite the hiring process by conducting screening processes in short periods.

Recruitment Agencies

Companies who are looking to fill specific positions with highly skilled and experienced candidates approach external recruitment agencies or executive headhunters to do so. These agencies are well-equipped to look for suitable candidates and they also undertake the task of identifying, screening and recruiting such people.

Job Fairs

This is a win-win situation for job seekers and hiring teams. Job fairs allow potential candidates to understand how specific companies work while allowing hiring managers to scout for potential candidates and proceed with the hiring process if possible.

Importance of External Recruitment

The role of recruitment agencies in talent acquisition is of paramount importance. They possess the necessary resources to help companies find the right candidates and facilitate a seamless hiring process through their internal system. Here is how external sources of recruitment benefit companies.

Diversity of Skill Sets

External recruitment resources are a great way for companies to hire candidates with diverse professional backgrounds. They possess industry-relevant skills which can be put to good use in this highly competitive market.

Fresh Perspectives

Candidates hired through external recruitment resources come from varied backgrounds. This helps them drive innovation and run things a little differently, thus bringing in a fresh approach to any project they undertake.

Access to Specialized Talent

Companies cannot hire anyone to fill critical roles that require highly qualified executives. This task is assigned to executive headhunters who specialize in identifying and screening high-calibre candidates with the right amount of industry experience. Huge conglomerates and companies seek special talent through external recruiters who have carved a niche for themselves.

Now that you have learnt the different ways in which leveraging external sources of recruitment benefits companies, let’s take a look at some of the best practices of external recruitment to understand how to effectively use their resources.

Best Practices for Effective External Recruitment

Identifying, reaching out to and screening the right candidates requires a robust working system. Every system works efficiently if a few best practices are implemented. For example, hiring through social media platforms requires companies to provide details about their working environment, how the job is relevant to their audience and well-positioned advertisements. The same applies to the other external sources of recruitment. Here is how you can optimise the system to ensure an effective recruitment process.

Craft Clear and Compelling Job Descriptions

Detail Responsibilities: Clearly outline the key responsibilities and expectations for the role.

Highlight Company Culture: Include information about the company’s mission, values, and growth opportunities to attract candidates who align with your organizational culture.

Leverage Multiple Recruitment Channels

Diversify Sources: Use a mix of job boards, social media platforms, recruitment agencies, and networking events to maximize reach. Relying on a single source can limit your candidate pool.

Utilize Industry-Specific Platforms: In addition to general job boards, consider niche job sites that cater to specific industries or skill sets

Streamline the Application Process

Simplify Applications: Ensure that the application process is user-friendly. Lengthy or complicated forms can deter potential candidates from applying.

Mobile Optimization: Many candidates use mobile devices to apply for jobs, so ensure your application process is mobile-friendly.

Engage in Proactive Sourcing

Reach Out to Passive Candidates: Actively seek out candidates who may not be actively looking for a job but could be a great fit for your organization. Use LinkedIn and other professional networks for this purpose.

Maintain a Talent Pool: Keep a database of previous applicants and strong candidates for future openings, allowing you to reach out when new roles become available.

Utilize Social Media Effectively

Promote Job Openings: Use social media platforms like LinkedIn, Facebook, and Twitter to share job postings and engage with potential candidates. This approach can also enhance your employer brand

Conduct Background Checks: There are several ways of learning about potential candidates. Checking out candidate profiles on job boards like LinkedIn or social media platforms can give companies a better understanding of their potential candidates, thus confirming whether they are the right fit for the organization.

Implement Data-Driven Recruitment

Analyze Recruitment Metrics: Track key metrics such as time-to-hire, cost-per-hire, and source effectiveness. This data can help refine your recruitment strategies over time. Using external hiring software like HackeEarth can streamline the recruitment process, thus ensuring quality hires without having to indulge internal resources for the same.

Use Predictive Analytics: In this age of fast paced internet, everybody makes data-driven decisions. Using predictive analytics to study employee data will help companies predict future trends, thus facilitating a productive hiring process.

Conclusion

External sources of recruitment play a very important role in an organization’s talent acquisition strategy. By employing various channels of recruitment such as social media, employee referrals and campus recruitment drives, companies can effectively carry out their hiring processes. AI-based recruitment management systems also help in the process. Implementing best practices in external recruitment will enable organizations to enhance their hiring processes effectively while meeting their strategic goals.

Recruitment Chatbot: A How-to Guide for Recruiters

Recruiters constantly look for innovative ways and solutions to efficiently attract and engage top talent. One of the recruiter tools at their disposal is the recruitment chatbot. These digital assistants are revolutionizing how recruiters work.

Are you looking to add a chatbot to your hiring process?

Our comprehensive guide will take you through the essentials of a recruitment chatbot-from its role and benefits to planning and building one and optimizing your own.

The rise of AI in recruitment


Artificial intelligence (AI) is a transformative force reshaping most industries, if not all. Today, you'll find AI-generated marketing content, financial predictions, and even AI-powered contact center solutions. The recruitment field has not been left behind. Professionals are using AI technologies, such as machine learning, natural language processing (NLP), and predictive analytics, to enhance various aspects of recruitment.

A report by Facts & Factors projects the global AI recruitment market size will grow to $890.51 million by 2028.
AI-Recruitment-Market-Size
Source

Chatbots are a prime example of AI's practical application in the hiring process. They efficiently handle tasks that traditionally require constant human intervention-as we'll see in the next section.

Understanding recruitment chatbots


Now that you understand the role of AI in modern recruiting processes, let's focus on recruitment chatbots in particular.

What is a recruitment chatbot?

A recruitment chatbot is software designed to assist in the recruitment process by simulating human-like conversations and automating various tasks. The core functionalities include:
  • Asking candidates predefined questions about their qualifications, experience, and skills
  • Instantly responding to common questions about job openings, company culture, benefits, and application process
  • Automated interview scheduling process with human recruiters
  • Keeping qualified candidates informed about their application status
As of 2023, 35%-45% of companies were using AI recruitment tools. Here are two key notable ones:

General Motors


General Motors (GM) has a conversational hiring assistant, Ev-e, that appears as soon as you land on their career site.
General-Motors-Recruitment-Chatbot
Source

This AI-powered chatbot enabled GM to manage candidate communications efficiently. The company also lowered its interview scheduling time from 5-7 days to just 29 minutes. They also save around $2 million annually.

Hewlett Packard Enterprise


Hewlett Packard Enterprise (HPE) also has a great recruiting chatbot- the HPE Career Bot. It also pops up when you land on HPE's career site.
HP-Career-Chatbot
Source

HPE's goal was to use the chatbot to convert passive candidates into actual job applicants, and they did just that.

Within the first three months of its rollout, the career bot more than doubled its usual career site visitors, reaching over 950,000 candidates. Additionally, HPE converted 26% of job seekers into actual hires.

Benefits of using recruitment chatbots

> The key benefits of using a recruitment chatbot include:
  • Saving valuable time: Recruitment chatbots can automate repetitive tasks like answering FAQs. That speeds up the recruitment process, allowing recruiters to focus on other administrative tasks.
  • 24/7 availability: Unlike human recruiters, who can only work 9-10 hours daily, chatbots are available around the clock.
  • Better quality of hires: Chatbots use predetermined criteria for the initial candidate screening process, meaning they only approve qualified candidates.
  • Lower hiring costs: By automating various time-consuming tasks, chatbots help significantly reduce recruitment costs.
By doing all the above, recruitment chatbots help you save resources that would be unnecessarily wasted if you were using the traditional hiring process.

Planning your recruitment chatbot


Without a well-thought-out plan, even the most advanced chatbot will fall short of expectations.

Defining your chatbot's objectives

Before building your recruitment chatbot, clearly understand what you want to achieve with it. Setting specific objectives. Some objective examples are:
  • To screen applicants
  • To schedule interviews
  • To provide company information
To identify the ideal objectives for your recruitment chatbot, map out the candidate journey from their initial interaction to the final hiring decision. Then, identify the touchpoints where the chatbot can add value.

For instance, if you waste most of your time screening candidates, create a chatbot that can efficiently assess qualifications and experience.

Establish metrics to measure chatbot success. They should align with the goals you set. Some great metrics could be a reduction in time-to-hire or candidate satisfaction scores.

Designing conversations for optimal engagement

The next step is to design the conversations your chatbot might have with candidates. Cover everything from greetings to solutions to misunderstood queries.
  • Greetings: Always begin with a warm greeting.
  • Language: Avoid jargon and overly formal language. Use simple, straightforward, conversational language.
  • Guided approach: Steer the conversation, providing clear instructions. You can also include quick reply buttons for common responses.
  • Misunderstood queries: Ensure your chatbot handles misunderstandings gracefully by politely asking for clarification.
Don't forget to include options for the chatbot to escalate complex queries to a human recruiter.

Building your recruitment chatbot


Now, you're ready to build a recruitment chatbot that will improve your overall talent acquisition strategy.

Choosing the right platform

Start by choosing the right chatbot platform. For this, there are factors you must consider.

The first is whether it will help you build a chatbot that meets your needs. To determine this, refer to your objectives. For instance, if your objective is to reduce repetitive inquiries, ensure the platform has strong NLP capabilities to understand and respond to candidate queries naturally.

The other factor is your technical expertise. Determine whether you need a no-code/low-code platform or have the technical resources to build a custom solution.

The no-code or low-code solution with pre-built templates is ideal for recruitment teams without extensive technical expertise. The custom solution, on the other hand, suits teams with technical resources.

Besides that, consider the features each chatbot tool offers. For instance, does it have multi-channel support, customization options, integration capabilities, and detailed analytics? Also, ensure you choose an option within your budget.

Some popular chatbot platforms include Mya, Olivia, XOR, and Ideal.

Development and integration

Developing and integrating your recruitment chatbot is the next. Here's a step-by-step guide:
  1. Define the scope and workflows: Identify the ideal candidate touchpoints-where and how the chatbot will interact with potential candidates.
  2. Scriptwriting: Write scripts for possible interactions the chatbot will have with candidates. Use generative AI tools to generate great responses that align with your desired conversation tone and style in minutes.
  3. Build the chatbot: Use your chosen platform to build a chatbot that aligns with your workflow and scripts.
  4. Testing: Conduct thorough testing to identify and fix any issues. You can start with your team and then beta-test it with a small group of suitable candidates.
  5. Integrate with existing HR systems: Integrate your recruitment chatbot with your Applicant Tracking System (ATS), your calendar, among others.
Once you're confident in the chatbot's performance, roll it out to candidates.

Training and optimizing your chatbot


Continuously train and optimize your recruitment chatbot to keep it aligned with your goals, changing recruitment needs, and company policies. Let's break this down:

Training your chatbot with AI and Machine Learning

Start by collecting historical data from past interactions, such as emails, chat logs, and support tickets, to use as the initial training data set. Leverage the data to teach your chatbot how to understand and respond to various candidate inquiries.

The data should include a wide range of scenarios.

Also, use NLP to train your recruitment chatbot to understand and process human language. You can use NLP frameworks like AllenNLP, Apache OpenNLP, or Google's BERT.

Implement a continuous learning loop where your recruitment chatbot can learn from new interactions to expand its knowledge base and adjust its conversational strategies.

Monitoring and improving chatbot performance

Regularly monitor your recruitment chatbot interactions and metrics to improve your recruitment chatbot performance and ensure candidate satisfaction.

Constantly review your interaction logs to understand how candidates are interacting with the chatbot. Identify common issues or misunderstandings. You can also collect user feedback directly from candidates who have interacted with the chatbot.

Track metrics like response accuracy, conversation completion rate, candidate satisfaction scores, and time saved for recruiters. You can then use the valuable insights to refine the scripts, improve responses, and address the knowledge gaps.

Additionally, keep up with the latest trends and advancements in AI and recruitment technology to maintain the chatbot's relevance over time.

Legal and ethical considerations


Using AI in recruitment comes with legal and ethical challenges. These include:

Ensuring compliance and privacy

Ensure your chatbot complies with data protection laws and regulations to avoid unnecessary legal suits.

Most regulations require you to inform candidates about the personal data collected, how you will use it, and your data retention policy.

Popular regulations include the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and Canada's PIPEDA.

Addressing bias in AI

AI-driven recruitment tools can unknowingly carry on biases from the training data or algorithms. You must address these biases to ensure fair and equitable treatment of all candidates.

Use diverse and representative training data to reduce the risk of biased outcomes. Also, regularly audit your training data for biases related to gender, race, age, disability, or other protected characteristics.

Best practices and tips


Implementing a recruitment chatbot requires you to follow best practices to effectively meet your hiring goals while providing a positive candidate experience.

Dos and don'ts for recruitment chatbots

Here are some of the most essential tips and common pitfalls:

Dos


-Ensure your chatbot is user-friendly and capable of handling various inquiries at a go.

-Offer personalized experiences.

-Provide relevant and timely information.

-Ensure the chatbot is accessible to all candidates, including those with disabilities.

Don'ts


-Don't over-automate. Maintain a balance with human touchpoints

-Don't overwhelm candidates with too much information at once

Future trends in AI recruitment


The future of AI in recruitment looks promising, with trends such as advanced natural language processing (NLP). The advanced capabilities will allow chatbots to understand and respond to more complex queries.

Besides that, we can expect future chatbots to use more interactive content, like video intros, virtual reality (VR) job previews, or virtual workplace tours to boost candidate engagement. A company like McKinsey & Company is already using gamified pre-employment assessments.
McKinsey-Gamified-Recruitment-Chatbot
Source

We will also see more advanced AI-powered candidate matching that provides personalized job recommendations based on a candidate's skills, experience, and career aspirations.

Conclusion


Recruitment chatbots are revolutionizing the recruiting process. By automating routine tasks, providing instant responses, and offering data-driven insights, chatbots enhance both recruiters' and candidates' experiences.

As discussed in this guide, implementing a recruitment chatbot involves several crucial steps.

Define the objectives and design conversation paths. Next, choose your ideal platform and build your chatbot. After that, train and continuously optimize it to ensure it remains accurate and relevant. Also, ensure you're complying with the core legal and ethical considerations.

Now go build a recruitment chatbot that slashes your workload and gives your candidates a great experience.
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