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This Is Recruiting: Increasing Your Diversity Hiring ROI

This Is Recruiting: Increasing Your Diversity Hiring ROI

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Kumari Trishya
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May 26, 2021
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3 min read
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The ‘kickoff meeting’ is an important part of technical hiring. It is also usually the first time that a recruiter and a tech hiring manager get together to discuss an open requirement.

Now, let’s think about what has gone behind the scenes of this meeting. The technical hiring manager has had weeks; probably even months, of asking for approvals for this role to be opened up. They have waited for paperwork to be done, for budgets to be finalized, and are now at the table hoping the recruiter in front of them will help them fill this role URGENTLY.

The recruiter in question has come in prepared to turn this role into a diversity hiring opportunity, and has perhaps a whole presentation about strategy and tactics.

It’s a 30 minute conversation; perhaps even lesser. There is no way that a recruiter can walk into that meeting and convince a hiring manager who has an urgent requirement to throw everything they know about finding the right candidate outside the window, and use a fresh approach.

This is not a random prophecy. John Vlastelica, founder of Recruiting Toolbox, well knows this to be a fact. He has been in enough kickoff meetings to know that urgency triumphs over other values. Every single time.

So what does the modern recruiter do?

Tech has always had a diversity problem. The industry acknowledges it and we know recruiters are getting more aware of how they can help reduce the gap. The smart recruiter, however, does not wait till the kickoff meeting to effect a change. The smart recruiter creates a strategy where diversity is baked into the company’s hiring practices from the get go.As always, this is easier said than done. Here are some of the tactics John has found to be useful when creating an effective diversity hiring process and improving diversity hiring ROI:

#1. Farm your talent pool, as opposed to hunting

Diversity hiring is not just about going to, say, a historically Black university and organizing a hiring drive to get more African American employees on board. That is what recruiters do when they ‘hunt’ for talent. Investing in these diverse student groups, and keeping them engaged even when you are not actively sourcing is what John calls ‘farming’.Salesforce’s Pathfinder Program is one of the examples of how companies can invest in and cultivate relationships with future talent. Such initiatives provide commitment as well as opportunity for companies to engage with marginalized communities, and build a robust pipeline of diverse IT talent.For this to happen successfully, recruiters need to be prepared. Opportunity is relative to several parameters like location, race, age, and gender. Use tools like LinkedIn talent and SeekOut to understand what the supply of talent looks like when viewed through the lens of diversity, and then create talent ‘farming’ initiatives that will help you create more opportunities where they matter. A data-driven pre-sourcing strategy like this would also make it easier for you to justify remote hiring or a relocation - both of which can enable you to hire a more diverse workforce.

#2. Bust the myth of the ‘perfect candidate’

Have you ever read a job description for a tech role? Most of the time, it is full of jargon and a near-impossible list of must-haves. This ‘wishlist’ of skill sets creates a very narrow target profile, and makes our job as recruiters even harder.Every time a recruiter says yes to such a hiring requirement, they give away the power to hire well to someone else. Instead, ask for a conversation with your hiring manager. List down the actual - and realistic - list of ‘must haves’. These are non negotiable. Then, make a list of ‘adjacent skills’ which can either be fulfilled by someone else in the team, or can be foregone when hiring.If hiring was like ordering a good burger, then your must haves would be the bun, the meat, the onion and lettuce, cheese, and the sauce that goes on the meat. You wouldn’t say no to a good burger just because it didn’t come with five additional dips, would you?Tech hiring simplifiedBusting the myth of the ‘perfect hire’ also keeps the hiring centered on skills, and not a bunch of keywords. Some skills are trainable, and a good candidate would be able to learn them on the job easily. More and more hiring managers are realizing this, and trying to hire generalists who have a hunger to learn and upskill, instead of chasing pedigree. As recruiters, it is our job to ensure our managers know the value of a candidate who is adaptable and quick to learn.So, instead of trying to hire the mythical ‘ideal hire’, widen the aperture to create multiple success profiles for each role and share them with your hiring manager. Then go back to the talent ‘farm’ you created in Step 1, and find people who fit these multiple success profiles.

#3. Train. Talk. Tweak.

Biases can creep into any hiring environment. With so many of our meetings happening over video now, in non-professional settings, it has become even easier to judge someone for the art on their wall, or their choice of pet. These biases can cause all your best-laid plans to go awry. Hence, the need for frequent communication and training.
Hiring managers need to be aware of their own subconscious biases in different scenarios. They need to be provided with the right training and tools to beat these biases. Hiring managers also need to understand and learn to create inclusive interview settings and prioritize candidate experience. John suggests a quarterly health check between recruiters and managers to stay on top of these issues.
It’s also important for managers to understand that some of this talking and training and tweaking will affect the speed of hiring. Speed is the love language of hiring managers, and John says he has never met a hiring manager who didn’t want a role to be filled yesterday. However, with diversity as the main focus, speed is not always possible. At least, in the initial stages when you are still perfecting your strategies.Sometimes, putting the brakes on isn’t that bad, right?
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#4. Set realistic goals to improve your diversity hiring ROI

Diversity hiring isn’t a one off. It is a continuous process, and John suggests that you have very realistic benchmarks for your team. Look at Google for instance. One of the biggest IT giants in the world with all the resources at its disposal has not been able to crack diversity hiring at scale. It’s difficult, that is why!You’re not Google. So, don’t begin by setting yourself up for failure. Expectation and goal setting is very important here, as is measuring progress. Don’t forget to include your people leaders and tech managers when setting goals, but also do not accept unachievable success standards.

Google Diversity Report

Source: Google Diversity Report 2020

The bottom-line for better diversity hiring: Look for real improvements

A few years ago, Deloitte started the practice of matching new hires with a ‘career coach’ to understand the issues minority technologists face in the organization in their first two years. Now, this is real improvement.Metrics, charts, numbers are a good measure of progress, but they don’t paint the whole picture accurately. While you keep track of these, don’t take your eye off the bigger goal. Train your managers to recognize practices that are meant to screen out potential hires. Create inclusive interviewing and engagement processes. Effect change at the grassroots so that diversity is included in all your pre-sourcing activities, instead of waiting for that job requirement to land at your table.Real change may come slowly, but the diversity hiring ROI of these efforts is more long-term. And that’s the only ‘ideal’ that all of us should be chasing! ****

Learn more about bettering your diversity hiring ROI with John below:

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Author
Kumari Trishya
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May 26, 2021
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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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