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(Part 2) When Cabbies Make Ace Coders: Why Skill-Based Hiring Matters In Tech

(Part 2) When Cabbies Make Ace Coders: Why Skill-Based Hiring Matters In Tech

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Kumari Trishya
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December 24, 2020
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3 min read
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***

If in case you missed the first part of this blog, I have been talking to our CTO Vishwastam Shukla about how more recruiters and hiring managers need to use skills as the primary criterion for developer hiring. Vishy knows the importance of skills from his days as a coder, and from a very personal experience, which he narrated during our tête-à-tête.Read the first part to know more about this, and scroll down for the rest of our conversation.

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Question 4: Sometimes when you hire based on skill, you might need to upskill and train an employee to adapt to the nuances of the business. We’ve heard this before from recruiters. Isn’t this a monetary loss to the company then?

For many recruiters, the cost of hiring a candidate is an important metric that influences their decision making. Look at it this way though: a candidate from an Ivy League college would ask for higher compensation. You can use the same money to upskill a lesser-educated candidate and mold them to your organization’s needs. In the long term, the cost: benefit ratio remains the same.There are also some intangible benefits to skill-based hiring which few talk about. It helps in building a stronger bond between employer and employee. The trust and belief you place in a candidate’s skills translates directly into ownership at work. Developers like to let their code speak for them, rather than a piece of paper. Focusing on skills also ensures the candidate values you more as an employer because you're giving them an equal opportunity to showcase their ability - something that every programmer worth their money would love to do.
When you let skills be the only differentiator rather than what's painted on a resume, you show a candidate the respect they deserve. In return, you gain a brand ambassador for life.

Vishy reiterates this with his own example. He spent 6 and a half years at the company he joined as a rookie, learning to be better. Even today, he remembers his team fondly and always gives them their due for making him the engineer he is.

It’s time we placed an equal focus on such softer aspects of employee hiring, as we do on productivity and other metrics. An IBM study shows that employees lacking opportunities to grow and develop (i.e upskill) in a role are 12 times more likely to leave. In that sense, skill-based hiring and upskilling processes can also help you retain your employees longer.

Question 5: Skills versus pedigree, which one wins then?

[ebook2]Vishy graduated from IIIT Allahabad, a premier college in India, at a time when tech education was still firmly formal. With online tools and courses available now, he thinks that there is NO justification for high-expense degrees anymore. Tech education needs to move away from the concept of formal classroom teaching, and recruiters need to understand the actual, rather than the perceived value of a college degree.Checklist for skill based hiring - HackerEarth

Today, a developer could join an online course that runs cohorts for different tech stacks, teach themselves new skills via YouTube tutorials, or use practice platforms to upgrade their skills and go beyond classroom learning. Do they not deserve an opportunity to prove their skills just because their resume says they didn’t study in a Tier-1 college?

It’s also true that college degrees can be used as a proxy for social class and status, thereby reducing social mobility and augmenting inequality. 2020 has brought the conversation around unconscious biases to the fore, and as more recruiters adopt technology to ensure bias-free hiring, we’ll see the predilection towards academic lineage reduce even further.
If intelligence wins over degrees every single time, will we then see a demise of the IITs and Harvards of the world? It might not happen in our lifetime, but there is a definite need for colleges to evolve their curricula and ‘get with the times’. They cannot be charging big money for courses that are available online for cheaper.
Instead, they should aim to roll out a niche set of programs for which the general competency is not available freely. Colleges should also introduce tailor-made programs to help students hone their skills, and include methods to objectively measure progression within their curricula. (Harvard, if you’re listening, we’ve got a new business model for you!)

Question 6: How does someone used to hiring developers based on resumes shift to an objective, skill-based hiring process?

It’s definitely hard, especially for someone who’s been doing this for a while. Up until eight years ago, resumes were the only signals recruiters and hiring managers had about a candidate’s credibility. The first step, therefore, is to look for the same signals but in different places. Look for contributions on open-source forums like GitHub, and other developer communities. Check if a candidate believes in upskilling and what their choicest modes of doing so are. Many developers join hackathons, coding challenges, and boot camps to keep themselves updated with the latest developments in tech.With experienced developers, you can also look at the flavor of work they have done at previous organizations. Most importantly, always have a wide talent pool to choose from instead of restricting yourself with selection mandates. This can be hard to do. The trick lies in using automated tools that help you reach out to a wider candidate pool and create a wide talent funnel. This way, you can significantly improve your chances of hiring right by identifying the right candidates through objective skill-based assessments and choosing the ones that match your company’s requirements for skill.Don’t forget to check if your preferred candidate can write well, in any form or shape. Vishy believes this to be a hugely underrated skill in the tech role; one which most companies wouldn't even mention in their JDs. Even when software developers write code, they are required to document it. Not just because someone else will find it hard to read their code one day, but more so because writing down what you intend to do through your code needs clarity of thought. It needs conviction. It needs you to exercise your cognitive muscles and forces you to be more right and less wrong.

****


Recommended Read: 4 steps to pick the right tech recruiting software
After this long discussion, our CTO had to go back to doing his CTO-y things, and I went back to wondering about how just a generation ago, we were trained to put so much emphasis on 'where' someone had studied, or had worked. It influenced every sphere of our lives; so much so that we forgot to check for the 'what' and 'how' at times.Skill-based hiring brings back that focus on the 'how'. Vishy says a coder's attitude is never taught. It's something they possess innately or learn subconsciously. I think the same is true of recruiters, too. We were taught a certain way of hiring, but it doesn't take a rocket scientist to know the process is flawed. If you've known that innately, or subconsciously, we hope to aid you in your shift towards a more fair and unprejudiced tech hiring process.

To SkillsVille, y'all! And let's all take a cab for good measure :)

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Author
Kumari Trishya
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December 24, 2020
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3 min read
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Introducing HackerEarth OnScreen: AI-powered interviews, around the clock

Introducing HackerEarth OnScreen: AI-powered interviews, around the clock

Tech hiring has a blind spot, and it's not the resume pile, the take-home tests, or even the interview itself. It's the gap between when a great candidate applies and when your team is available to talk to them. That gap costs you more top talent than any competitor does.

Today, HackerEarth OnScreen closes it permanently.

The real cost of scheduling friction

Most companies assume they lose candidates to better offers. The data tells a different story.

A developer weighing two opportunities almost always moves forward with the company that responded first, not the one that sent a calendar invite for Thursday. AI-generated resumes have flooded inboxes, making screening harder. Engineering teams the people best positioned to evaluate technical depth have limited hours. Recruiters are under pressure to move faster while maintaining quality.

Something had to change.

What OnScreen does

OnScreen doesn't just automate scheduling. It conducts the interview.

A candidate who applies at 11 PM gets a full interview before Monday morning through lifelike AI avatars with built-in identity verification and proctoring. The experience is a genuine two-way conversation: dynamic, adaptive, and role-calibrated. This is not a chatbot filling out a scorecard.

One enterprise customer screened more than 2,000 candidates in a single weekend with complete consistency and zero interviewer bias.

"Recruiters are under pressure more than ever. The volume of applicants has surged, AI-generated resumes have made initial screening harder, and the risk of missing the right candidate keeps climbing. OnScreen was built so that no qualified candidate is overlooked because nobody was available to interview them."
— Vikas Aditya, CEO, HackerEarth

Three capabilities, combined for the first time

In-depth interviewing that evaluates reasoning, not recall.
OnScreen conducts dynamic technical conversations that adapt to how each candidate responds. It probes the depth of knowledge, follows threads, and evaluates the quality of thinking behind each answer not just whether the answer is correct. Every interview runs on a deterministic framework: the same structure for every candidate and no panel-to-panel variation.

Integrated proctoring, built in from the start:
Enterprise-grade proctoring is woven directly into the interview flow not bolted on as an afterthought. Legitimate candidates won't notice it. The ones who shouldn't be in your pipeline will.

KYC-grade candidate verification
OnScreen brings identity verification standards from financial services into technical hiring. Proxy candidates, resume misrepresentation, and skills that don't match the application – all three gaps were closed at the source.

What hiring teams are saying

"Before OnScreen, we had no reliable way to measure candidate quality, especially with the rise of AI-generated CVs. Now, screening is far more objective. Roles that previously took much longer are now being closed within three to four weeks."
— Pawan Kuldip, Head of Human Resources, Discover Dollar Inc.

Built for everyone in the process

For engineering teams:
Fewer hours on screening calls. Senior engineers focus on final-round conversations, not first-pass filters.

For recruiters:
Pipelines that move. Candidates evaluated and scored before the week starts.

For candidates:
A consistent, skills-first experience, regardless of when they apply or where they're located.

OnScreen integrates directly into HackerEarth's existing platform alongside Hiring Challenges, Technical Assessments, and FaceCode. It extends your interviewing capacity without adding headcount.

The hiring bar just got higher. Everywhere.

Top talent expects swift, fair processes. Companies that deliver both, at scale, around the clock, will hire the engineers everyone else is still scheduling calls about.

OnScreen is now live for enterprise customers. Request access at hackerearth.com/ai/onscreen.

HackerEarth powers technical hiring at Google, Amazon, Microsoft, and 500+ global enterprises. The platform supports 10M+ developers across 1,000+ skills and 40+ programming languages.

What It Takes to Keep Gen Z Engaged and Growing at Work

What It Takes to Keep Gen Z Engaged and Growing at Work

Engaging Gen Z employees is no longer an HR checkbox. It's a competitive advantage.

Companies that get this right aren’t just filling roles. They’re building future-ready teams, deepening loyalty, and winning the talent market before competitors even realize they’re losing it.

Why Gen Z is Rewriting the Rules

Gen Z didn’t just enter the workforce. They arrived with a different operating system.

  • They’ve grown up with instant access, real-time feedback, and limitless choice. When work feels slow, rigid, or disconnected, they don’t wait it out. They move on. Retention becomes a live problem, not a future one.
  • They expect technology to be intuitive and fast, communication to be direct and low-friction, and their employer to reflect values in daily action, not just annual reports.

The consequence: Outdated systems and poor employee experiences don’t just frustrate Gen Z. They accelerate attrition.

Millennials vs Gen Z: Similar Generation, Different Expectations

These two cohorts are often grouped together. They shouldn’t be.

The distinction matters because solutions designed for Millennials often fall flat for Gen Z. Understanding who you’re designing for is where effective engagement strategy begins.

Gen Z’s Relationship with Loyalty

Loyalty, for Gen Z, is earned, not assumed.

  • They challenge outdated processes and push for tech-enabled workflows.
  • They constantly evaluate whether their current role offers the growth, flexibility, and purpose they need. If it doesn’t, they start looking elsewhere.

Key insight: This isn’t disloyalty. It’s clarity about what they want. Organizations that align experiences with these expectations gain a competitive edge.

  • High turnover is the cost of ignoring this.
  • Stronger teams are the reward for getting it right.

What Actually Works

1. Rethink Workplace Technology

  • Outdated tools may be invisible to older employees, but Gen Z sees them immediately.
  • Modern HR tech and collaboration platforms improve efficiency and signal investment in people.
  • Invest in tools that reduce friction and enhance daily experience, not just track performance.

2. Flexibility with Clear Accountability

  • Gen Z values autonomy, but also needs clarity to thrive.
  • Hybrid and remote models work when paired with well-defined goals and explicit ownership.
  • Focus on outcomes, not hours. Autonomy with accountability is a combination Gen Z respects.

3. Continuous Feedback, Not Annual Reviews

  • Annual performance reviews feel outdated. Gen Z expects real-time feedback loops.
  • Frequent, actionable feedback helps employees improve faster and signals that their growth matters.
  • Make feedback a weekly habit, not a twice-yearly event.

4. Make Growth Visible

  • If career paths aren’t clear, Gen Z won’t wait. They’ll look elsewhere.
  • Internal mobility, structured learning paths, and reskilling opportunities signal future potential.
  • Invest in learning and development and make career trajectories explicit.

5. Build Real Belonging

  • Inclusion must show up in daily interactions, not just company values documents.
  • Inclusive environments where diverse perspectives are genuinely sought produce better decisions and stronger engagement.
  • Gen Z quickly notices when DEI is performative. Build it into everyday interactions.

6. Connect Work to Purpose

  • Gen Z wants to see how their work matters in a direct, traceable way.
  • Linking individual roles to tangible business outcomes increases ownership and engagement.
  • Purpose-driven work isn’t a perk. It’s a retention strategy.

7. Prioritize Well-Being

  • Burnout is a performance problem before it becomes attrition.
  • Mental health support, sustainable workloads, and genuine flexibility reduce stress and sustain engagement.
  • Policies must be real in practice. Gaps erode trust.

How to Attract Gen Z from the Start

Job Descriptions That Tell the Truth

  • Generic postings don’t convert Gen Z candidates. They want specifics: remote or hybrid expectations, real growth opportunities, and culture in practice.
  • Transparent job descriptions attract better-fit candidates and reduce early attrition.

Skills Over Experience

  • Gen Z and organizations hiring them increasingly value potential over tenure.
  • Skills-based hiring opens access to a broader, more diverse talent pool and builds teams equipped for change.
  • Hire for capability and future-readiness, not just years on a resume.

The Bottom Line

Retaining Gen Z isn’t about perks. It’s about rethinking the employee experience from the ground up.

  • Flexibility without accountability fails.
  • Purpose without visibility is hollow.
  • Growth that isn’t visible or structured drives attrition faster than most organizations realize.

The payoff: When organizations combine the right technology, real flexibility, continuous feedback, visible growth paths, and genuine inclusion:

  • Gen Z doesn’t just stay. They perform at a higher level.
  • Adaptive, future-forward thinking compounds over time.

That’s what separates organizations that thrive in today’s talent market from those constantly replacing people who left for somewhere better.

AI Tools for HR Managers in 2026: What's Actually Working (And What Isn't)

The current state of AI adoption in HR
88% of HR leaders say their organizations have not yet realized significant business value from AI. That number is striking, given that 91% of CHROs now rank AI as their single top priority. The gap is not a technology problem it is an adoption and strategy problem. Most HR teams have added AI to their workflows in some form, but very few have moved past experimentation into real, measurable impact.

This guide is for HR managers who want to change that. Not a list of tools to bookmark and forget, but a clear-eyed look at where AI is delivering results in 2026, what separates the tools that work from the ones that don't, and how to actually use them.

The adoption gap that most HR leaders aren't talking about

AI is present but underutilized.
According to the SHRM State of AI in HR 2026 report, 62% of organizations use AI somewhere in their business. But only 11% have embedded AI into daily workflows, defined as more than 60% of employees using it daily. That is a significant divide and explains why so many AI investments feel underwhelming.

Managers experiment more than employees.
A July 2025 Gartner survey of 2,986 employees found that 46% of managers are experimenting with AI, compared to just 26% of employees. Most organizations encourage exploration but fail to provide the structure, expectations, or training needed to make AI stick. Only 7% of organizations give employees guidance on how to use the time AI saves them.

The result: wasted potential.
Workforces have access to powerful tools but no framework for using them strategically. AI becomes another tab open in the browser, rather than a fundamental shift in how work gets done.

The opportunity is real.
Organizations that have moved from experimentation to integration are seeing tangible outcomes:

  • AI-powered recruitment tools reduce time-to-hire by an average of 30 days.
  • AI automates up to 60% of routine HR tasks, saving employees five or more hours per week.
  • Predictive analytics reduces voluntary turnover by 22–28% in the first year of deployment.

Capturing this opportunity requires the right tools and the right strategy.

Why 2026 is different from every other year of "AI in HR"

1. Skills-based hiring has gone mainstream.
Josh Bersin's 2026 Talent Report found that 72% of companies are moving away from degree requirements in favor of skills-based evaluation. Gartner reports that 65% of enterprises are actively prioritizing it. The traditional resume is no longer the most reliable signal of candidate quality, especially in tech roles where the half-life of skills is just two years.

2. Agentic AI has arrived.
Earlier generations of HR AI could automate tasks or analyze data. Agentic AI can plan, act, and iterate across entire workflows without constant human direction. 48% of large companies have already adopted agentic AI in HR, with projections showing 327% growth by 2027. This is no longer experimental.

3. Regulatory pressure is real.
The EU AI Act now classifies hiring AI as high-risk, making transparency and audit trails a legal requirement. Any AI tool influencing hiring decisions must be explainable. Black-box systems are a compliance liability.

What separates genuinely useful HR AI tools from the rest

They augment judgment rather than replace it.
Great HR AI tools make professionals better at their jobs. They surface the right information at the right moment, flag unnoticed patterns, and reduce cognitive load. Tools that try to remove humans entirely create legal risk and distrust. 88% of HR leaders haven’t seen ROI largely because their tools automate the wrong things.

They generate actionable insight, not just output.
Predictive models identify at-risk employees six months before they leave, skills-gap analyses shape hiring plans before a role opens, and candidate matching highlights transferable potential. This is the difference between AI that saves time and AI that changes decisions.

They are transparent and explainable.
Employees trust AI-generated reviews twice as often when they understand the criteria. 67% of candidates accept AI screening as long as a human makes the final call and the process is explained. Transparency builds trust, drives adoption, and ensures compliance.

Top AI tools for HR managers in 2026

HireVue
Standard for AI-powered video interviews and structured candidate assessments at scale. Cuts time-to-hire by 50%, supports 40+ languages, and uses IO psychologist-vetted guides. Bias audits and deterministic algorithms ensure fairness. Ideal for regulated industries and high-volume hiring.

Eightfold AI
Built for skills-first talent strategy. Maps 1.6 billion career profiles to a skills graph, matching candidates on potential rather than keywords. Increases recruiter productivity by 50%+ and reduces diversity sourcing time by 85%. Best for large enterprises focused on internal mobility and workforce planning.

Workday
Comprehensive HR platform with agentic AI for workforce planning, analytics, and employee lifecycle management. Acquisition of HiredScore integrates AI recruiting orchestration. Suitable for organizations needing a single system for headcount planning to performance reviews.

Lattice
Focuses on employee performance and engagement. AI identifies growth patterns, surfaces feedback trends, and flags disengagement early. Predictive models detect at-risk employees six months in advance, enabling targeted retention strategies. Ideal for culture and retention-focused organizations.

HackerEarth
Covers full tech hiring lifecycle, from sourcing developers through hackathons to live technical interviews. OnScreen AI interview agent uses lifelike avatars for structured, bias-free interviews. Ensures verification and cheat-proof processes. Trusted by Google, Amazon, Microsoft, Barclays, and Walmart.

Moving from experimentation to impact: a practical framework

1. Start with one high-friction problem.
Automate workflows that cost the most time or cause the most inconsistency typically initial candidate screening. Measure outcomes to justify next investments.

2. Define success before deployment.
47% of CHROs haven’t established clear AI productivity metrics. Set baseline and target improvements: time-to-shortlist, quality-of-hire, recruiter hours per hire anything trackable.

3. Put managers in the loop.
AI adoption gaps are often a manager problem. Give managers specific use cases, integrate AI into workflows, and provide language to discuss it with their teams.

The bottom line

AI will not change HR’s fundamental nature it remains a people function requiring judgment, empathy, and context. What AI improves is:

  • The quality of information available for every decision.
  • The time HR teams spend on work that doesn’t require judgment.

Organizations getting ahead in 2026 are those that select the right tools for the right problems and give teams structure to use them effectively. That is where the real advantage lies.

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