Enhancing Diversity Through Data in Recruitment

In this increasingly litigious era of DEI pushback, it is more important than ever for HR and DEI teams to invest in people analytics and data science capabilities. While at Uber, I hired two org psych PhDs with exceptional qualitative and quantitative research capabilities. They collaborated with people analytics to develop and conduct innovative predictive factor analysis using data beyond traditional demographics. They were also tasked to transform how Uber gathered data. These innovations in data allowed Uber’s DEI approach to be truly data informed and data driven. Rather than relying on imprecise lagging metrics (representation, turn over) we could pinpoint the exact root cause of inequity and address it at the source. Factor and process analysis helped the Uber recruiting team pinpoint that our biggest hurdle to hiring from historically overlooked groups was top of funnel diversity. If an underrepresented person could make it past initial phone screens they had a high probability of getting an offer. It was the initial resume review and phone screen that were acting as blockers. This allowed for further analysis and a solution was created to mitigate bias at this stage. Rather than utilizing tired methods like candidate slate requirements, we could focus on root causes rather than throwing darts in the dark.

Why rely solely on surveys when you can uncover the true state of DEI through concrete metrics? This is a question that echoes in my mind each time I embark on a new journey with a client. Surveys can provide valuable opinions, but they often fall short of capturing real facts and the nuanced realities of individuals within an organization. 🔎 Here are 6 key DEI metrics that truly matter: 📍 Attrition Rates: Take a closer look at why employees are leaving, especially among different groups. This will help you understand if there are specific challenges or issues that need to be addressed to improve retention. 📍 Leadership Pipeline Diversity: Evaluate the diversity within your leadership team. Are there opportunities for underrepresented individuals to rise into leadership roles? Are they equally represented on all levels of leadership? 📍 Promotion and Advancement Rates: Assess if all employees, regardless of background, are getting equal opportunities to advance in their careers. By monitoring promotion and advancement rates, you can identify any biases and work towards creating a level playing field. 📍 Pay Equity: Ensure that everyone is paid fairly and equally for their work. Address any discrepancies in pay based on not only gender, but also race, age, ethnicity or other intersectional factors. 📍 Hiring Pipeline Diversity: Examine the diversity of candidates in your hiring process. Are you attracting a wide range of talent from different backgrounds? Tracking this metric helps you gauge the effectiveness of your recruitment efforts in creating a diverse workforce. 📍 Employee Engagement by Demographic: Measure the level of engagement and satisfaction among employees from various groups. Are there any disparities in engagement levels? Run the crossings of identity diversity and organizational one. By focusing on these 6 concrete metrics, you can gain real insights into your organization's DEI progress based on actionable data that drives progress. ________________________________________ Are you looking for more HR tips and DEI content like this?  📨 Join my free DEI Newsletter: https://lnkd.in/dtgdB6XX

When it comes to achieving hiring goals in sports to be diverse, equitable & inclusive, companies need to treat it like any other aspect of their business operations - but most aren't. In convos I've had with 100+ HR leaders, Talent Acquisition teams, DEI professionals, & hiring managers across departments, a common frustration emerges: they want to improve diversity in hiring but can't effectively measure their progress. Please don't get it twisted - diverse, qualified talent actively looking for new career opportunities at all levels is out there. I speak with them. Every. Single. Day. Not only that, but the companies that understand how DEI directly ties into their business ROI are winning big time (source: Guild): - Companies in the top quartile for ethnic & cultural diversity on executive teams outperformed those in the fourth quartile by 36% in profitability - Organizations with an inclusive culture are 3x as likely to be high performing & 8x more likely to achieve better business outcomes - Companies that are more gender & racially diverse outperform their peers in innovation, effectiveness, & see improved financial performance Here's the problem though. While good intentions are well... good, that's all they'll ever be without proper implementation. It's no secret that traditional practices like over-reliance on referrals or only hiring internally can unintentionally create homogeneous candidate pools & perpetuate inequitable hiring. But without proper tracking systems, these biases often go unnoticed & unaddressed. Which begs the question: how can you optimize what you can't measure? Organizations set DEI targets but have no reliable way to track their pipeline demographics, identify where diverse candidates drop off, or understand the effectiveness of their initiatives. Well, historically tracking DEI hiring metrics has been nearly impossible. Why? It turns out through the chats we've had with employers that most organizations have relied on manual spreadsheets or disconnected HR systems that are often incomplete or inconsistent. Without standardized infrastructure to collect & analyze demographic data throughout the hiring process, teams have been operating in the dark. That's why we built Arena (Sports, Media & Entertainment Careers) to fundamentally reshape sports industry hiring infrastructure. Our platform enables organizations to: - Track aggregated candidate demographics throughout the hiring process - Source candidates across different backgrounds looking for career opportunities in sports, media & entertainment No "just checking a box" here. Through standardized measurement & accountability tools, we're helping transform DEI from an aspiration into a fundamental part of how the sports industry operates, implementing sustainable, equitable hiring practices & turning good intentions into systemic progress that creates lasting impact across the industry. This is Day 24 of the #LinkedInSportsChallenge!

“Men apply when they meet 60%. Women only when they meet 100%.“ We’ve all heard it. We’ve all quoted it. And… It’s wrong. That line comes from an internal HP report from 2014, not a scientific study. It spread because it felt true. But feelings aren’t frameworks. Here’s what research says: The Behavioral Insights Team (2022) and Harvard’s Katherine Coffman (2023) found that women don’t apply less often because they lack confidence. They apply less often because our job ads make them guess. When ads are vague: “proven excellence,” “leadership mindset,” “strong analytical skills” , qualified women are far less likely to apply. Make the expectations concrete, and the gap almost disappears. In Coffman’s experiment, women’s applications jumped by 20 percentage points when the ad listed specific, measurable requirements. Not because women changed. Because the signal did. So if you really want more women in your pipeline, stop fixing women. Start fixing your job descriptions. Here’s where to start this week: 1. Rewrite one key role with clear, measurable, skill-based criteria: describe what someone needs to do, not just who they should be. 2. Separate must-have skills from “nice-to-haves.” Focus on what’s truly future-proof: adaptability, learning mindset, collaboration, and digital literacy. 3. Add a straightforward line: “If you meet most of these skills or have the potential to grow into them, we’d still love to hear from you.” 4. Track your applicant data. Watch who shows up and who finally feels seen.     That’s how inclusion starts, not in slogans, but in structure. And not in personality traits, but in skills. Let’s stop quoting the 60% myth. And start rewriting the rules of how opportunity is communicated. Skill by skill. #SkillsFirst #Recruiting #Diversity #Inclusion #FutureOfWork #Leadership #Hiring #GenderEquality Sources: Behavioural Insights Team (2022). Gender differences in response to requirements in job adverts.London: The Behavioural Insights Team. Coffman, K. B., Collis, M. R., & Kulkarni, L. (2023). Stereotypes and Belief Updating. Management Science, Articles in Advance. Harvard Business School Working Paper. ID! A dark blue graphic with bold white text shows the quote:“Men apply when they meet 60%. Women only when they meet 100%.”The quote is crossed out with a large red “X.”Below, new text reads:“The problem isn’t women’s confidence. It’s how we write the job.”On the lower right, Ute Neher appears smiling, with curly blonde hair, glasses, and a patterned blouse, set against a light background.

Given heightened marketplace uncertainty and transparency, organizations are struggling to quantify the impact of their inclusion work. My ally Victoria Mattingly recommends these ideas to start: 1. Hiring Data: Review hiring data at each stage of the selection process to see if historically marginalized candidates are not advancing. This can help an organization discover if inclusive hiring practices need to be revisited and ensure the candidate pool is diverse from the start. 2. Retention and Promotion Rates: Analyze retention and promotion rates to see if employees from historically marginalized groups are leaving at higher rates or are consistently passed over for advancement. This data could signal a need for more inclusive performance management processes and help a company understand if its culture is one where all employees can thrive. 3. Pay Equity Audits: Conduct comprehensive pay equity audits to identify disparities in compensation across gender, race, and other identity markers. While this might feel risky or even costly, the financial and reputational cost of a discrimination lawsuit is far greater. As Mattingly points out, pay inequality is a primary driver of turnover and can be a significant drag on a company’s bottom line. 4. Performance Evaluation Data: Combing through performance evaluation data can uncover patterns of bias if certain groups of employees are consistently rated lower or receive fewer growth opportunities. If the data shows a consistent pattern of lower scores for a particular demographic, it's a clear signal that bias may be influencing evaluations. 5. Leadership and Development Tracking: Track participation in leadership development programs, sponsorship initiatives, and high-visibility projects. This serves as a proactive indicator of whether all employees have access to advancement pathways. If the same groups of people are consistently getting these opportunities, it's a sign that the playing field isn't level. Full piece here: https://lnkd.in/gtTQ7yQf #inclusion #culture #leadership

→ 𝐓𝐡𝐞 𝐒𝐢𝐥𝐞𝐧𝐭 𝐓𝐫𝐮𝐭𝐡 𝐀𝐛𝐨𝐮𝐭 𝐃𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐇𝐢𝐫𝐢𝐧𝐠 𝐌𝐞𝐭𝐫𝐢𝐜𝐬 In HR, we often talk about diversity as a goal. But how many organizations truly measure its impact? The numbers often reveal a story that words alone cannot. • Representation Matters: Track gender, ethnicity, disability status, and more. Seeing the actual composition of your workforce helps identify gaps you cannot ignore. • Applicant Pool Insights: Knowing who applies is just as critical as who gets hired. Diverse pipelines start with diverse applications. • Interview and Offer Ratios: Are all demographic groups receiving fair consideration? Measuring interview-to-offer ratios can uncover hidden biases. • Offer Acceptance Rates: Diversity isn’t only about extending offers. Who accepts them, and why, tells a deeper story. • Time to Fill Roles: Comparing diverse vs. non-diverse role timelines highlights operational barriers to inclusion. → 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐑𝐞𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐌𝐞𝐭𝐫𝐢𝐜𝐬 • Employee Turnover: Track departures by demographic to understand who stays and who leaves. • Promotions and Internal Mobility: Are diverse employees progressing at the same pace? This is a true measure of inclusion. • Engagement Scores: Inclusion surveys reveal whether diverse employees feel seen and heard. → 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐨𝐟 𝐇𝐢𝐫𝐞 𝐌𝐞𝐭𝐫𝐢𝐜𝐬 • Performance and Progression: Diverse hires’ growth trajectories help validate recruitment strategies and long-term success. → 𝐅𝐮𝐧𝐧𝐞𝐥 𝐚𝐧𝐝 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 • Track candidates through every stage. Conversion rates by demographic shine a light on structural obstacles in hiring. → 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐆𝐨𝐚𝐥𝐬 𝐚𝐧𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬 • Benchmarks and Targets: Clear metrics allow organizations to aim higher with purpose. • Reporting Cadence: Transparency ensures accountability and continuous improvement. → 𝐓𝐨𝐨𝐥𝐬 𝐓𝐡𝐚𝐭 𝐄𝐦𝐩𝐨𝐰𝐞𝐫 • Modern ATS platforms now offer DEI tracking and analytics. Technology makes measurement practical, accurate, and actionable. The takeaway is simple: data transforms diversity from a mission statement into measurable, actionable results. Numbers reveal where change is needed - and where success is possible. If you’re leading HR initiatives, it’s time to move beyond intentions and track what truly matters. > Elevate your workforce with Tech Talent Sourcing, Diversity Hiring, Executive Search, Corporate Training & STH - follow Richa Sarna for talent solutions.

Recruitment and AI: Addressing Bias for Fair Hiring Practices Amazon's AI recruitment tool was found to be biased against women because it was trained on resumes submitted over a decade, predominantly from men. This led to the system favoring male candidates. Amazon discontinued the tool and focused on developing a new system that actively counteracts bias by ensuring diverse training data (Brookings). Steps to Avoid Bias in AI Recruitment: Diverse Training Data: Use balanced datasets representing all demographic groups to train AI models. Bias Detection Tools: Implement tools like IBM's AI Fairness 360 to monitor and correct biases in AI systems. Human Oversight: Maintain human involvement in the recruitment process to catch biases and ensure fairness. Regular Audits: Conduct audits to check for biases in both data and AI outputs. Transparency and Accountability: Use explainable AI to clarify decision-making processes and ensure accountability. By following these steps, companies can develop fair AI recruitment systems that promote equity and trust. #AI #Recruitment #Bias #Fairness #DiverseData #TechEthics

I’ve noticed quite a few posts recently questioning the purpose of application-stage questions (especially those linked to ED&I). So here’s a little bit of insight to those who may not know and may be confused as to why they are being asked these questions: In MOST companies, this data is never seen by anyone in the business. It doesn’t influence who’s shortlisted or interviewed. In fact, it’s used for the complete opposite reason. 📊 ED&I data helps internal recruitment teams make the hiring process fairer. It allows us to track trends: 🔵 Are job adverts attracting a diverse pool of applicants? If not, is language, imagery, or branding unintentionally exclusionary? 🔵 At the interview stage, are certain demographics dropping off? If yes, could unconscious bias be at play? Do we need better training—or new interviewers? 🔵 Are some groups rejecting offers at higher rates? Let’s explore why and fix it. 💡 This data offers powerful insight into whether we’re building inclusive processes and providing equal access to opportunity. So what I am trying to say is that your data is more than likely being used for good, not against you. It’s helping internal recruitment teams provide data, insight and guidance to business leaders to shape fairer recruitment strategies across industries. #talentacquisition #EDI #recruitment

𝕀𝕟𝕔𝕝𝕦𝕤𝕚𝕠𝕟 𝕒𝕟𝕕 𝔻𝕚𝕧𝕖𝕣𝕤𝕚𝕥𝕪 aren’t just trending topics in recruitment—they’re critical to building high-performing, innovative teams. ⁣ ⁣ As recruiters, we’re not just filling seats—we’re shaping company culture, one hire at a time. That’s a responsibility we shouldn’t take lightly. ⁣ ⁣ Here’s how I intentionally embed D&I into every stage of the recruitment process: ⁣ ⁣ ➡️ 𝐀𝐮𝐝𝐢𝐭 𝐣𝐨𝐛 𝐝𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧𝐬 to ensure language is inclusive and doesn’t alienate certain groups—no unnecessary jargon, no gendered language. ⁣ ⁣ ➡️𝐄𝐱𝐩𝐚𝐧𝐝 𝐬𝐨𝐮𝐫𝐜𝐢𝐧𝐠 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 to include talent from diverse backgrounds, non-traditional career paths, and overlooked communities. ⁣ ⁣ ➡️ 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐜𝐥𝐨𝐬𝐞𝐥𝐲 𝐰𝐢𝐭𝐡 𝐡𝐢𝐫𝐢𝐧𝐠 𝐦𝐚𝐧𝐚𝐠𝐞𝐫𝐬 to challenge outdated “culture fit” thinking and instead focus on “culture add.” ⁣ ⁣ ➡️ 𝐔𝐬𝐞 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 to reduce bias and ensure each candidate gets a fair shot, regardless of background. ⁣ ⁣ ➡️ 𝐄𝐝𝐮𝐜𝐚𝐭𝐞 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐭𝐞𝐚𝐦𝐬 on the business value of diversity—because inclusive hiring isn’t just the right thing, it’s the smart thing. ⁣ ⁣ ➡️ 𝐓𝐫𝐚𝐜𝐤 𝐚𝐧𝐝 𝐦𝐞𝐚𝐬𝐮𝐫𝐞 𝐝𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐦𝐞𝐭𝐫𝐢𝐜𝐬 in the pipeline—not to check a box, but to identify gaps and improve outcomes. ⁣ ⁣ True inclusion means everyone feels seen, heard, and valued—from the first touchpoint to the final offer and beyond. ⁣ ⁣ It’s not about lowering the bar—it’s about 𝘸𝘪𝘥𝘦𝘯𝘪𝘯𝘨 𝘵𝘩𝘦 𝘨𝘢𝘵𝘦. ⁣ ⁣ Recruiters, let's lead the way. Let's be intentional. Let's be better. ⁣ ⁣ If you found this insightful or of value, repost or share with your network. ♻️ #InclusiveHiring #DiversityInRecruitment #RecruiterTips #LeadershipInHiring #CultureAdd #EquityInHiring #DEI #AIimagery