By the time an exit interview lands on your desk, your best people are already gone. In this episode of Beyond HR, Shveta Malhan and Jeff Wellstead show how to flip the script — turning exit interviews and pulse data into early warning signals and practical retention levers. 💡 What you’ll learn: - How to use GPT to move from simple descriptive queries → diagnostic correlations → predictive rules → prescriptive actions. - Why clean, connected data is the fuel for powerful AI-driven insights. - How HR leaders can go beyond dashboards to storytelling and targeted retention strategies. - Real examples of prompts that uncover hotspots, root causes, and 30-60-90 day action plays. 📊 Instead of chasing attrition, see how AI can help you protect talent before they leave. 📥 Want to test this yourself? DM us for the synthetic dataset we used in the demo. 👥 Perfect for: HR leaders, CHROs, People Analytics professionals, and anyone curious about the future of AI in HR. 👥 Connect with Shveta Malhan: https://www.linkedin.com/in/shvetamalhan/ 🌐 https://yenza3.com 👥 Connect with Jeff Wellstead: https://www.linkedin.com/in/jrwellstead/ 🌐 https://www.bigbearpartners.com/ 00:00 Intro – Why exit interviews come too late 00:34 The painful truth: best people leave before HR sees it 01:00 Our laddered approach: descriptive → diagnostic → predictive 02:50 Behind the scenes: data prep & thought process 05:00 Why dashboards aren’t enough 07:20 Building a synthetic dataset with rich signals 09:00 From simple counts to connected insights 12:00 Zooming into Operations: culture vs flexibility 15:20 Exit data as leading indicators for retention 17:00 The cost of attrition & why broad fixes fail 19:10 Equipping HRBPs with actionable insights 23:00 Zooming back out: comparing leavers vs stayers 25:20 Do stay reasons evolve into exit reasons? 28:00 Testing risk factors: promotions, interviews, manager change 31:00 If–Then rules: finding critical triggers 33:50 Turning insights into manager actions 36:30 Retention plays: 30–60–90 day plans 38:30 Projecting attrition if we do nothing 40:30 From insights to CHRO-ready slides 42:40 Final reflections: AI as your HR teammate 44:56 Closing thoughts & call to action 🔔 Subscribe to Beyond HR for more episodes on AI, people, and performance.

-If your inbox is full of “What does the policy actually mean?” this episode is for you. Shveta Malhan and Jeff Wellstead show how to use A.I. to transform dense HR policies into clear, employee-centric guidance that people can understand and act on. In this episode you’ll learn: - Why policies confuse employees and erode trust, plus the real business costs of unclear policies. - A live demo: rewriting a remote work policy in plain English, converting it into an FAQ, generating a chatbot script, and creating intranet search keywords in minutes. - Governance that works: legal review, change logs, versioning, and smart distribution across your intranet, Slack or Teams. Try these prompts from the show: - “Rewrite the following HR policy in plain English for employees and managers. Avoid legal jargon.” - “Convert this policy into an employee FAQ with at least 10 Q&As.” - “Draft a chatbot script that answers common questions about this policy, including intent, eligibility, steps, and escalation.” - “Generate intranet search keywords and phrases employees would use to find this policy.” Hosts: Shveta Malhan and Jeff Wellstead If this helped, share it with your HR team and leave a comment on what policy you want us to simplify next. 👥 Connect with Shveta Malhan: https://www.linkedin.com/in/shvetamalhan/ 🌐 https://yenza3.com 👥 Connect with Jeff Wellstead: https://www.linkedin.com/in/jrwellstead/ 🌐 https://www.bigbearpartners.com/ 00:00 Cold open and welcome 00:29 Why policy language fails 01:16 Intent vs understanding 02:12 Global and regulatory complexity 05:06 Communication and training gaps 06:19 UK leave policy example 07:19 The real cost of unclear policy 08:36 Turnover and ramp-up costs 09:45 Disengagement and lost productivity 10:55 From HR issue to business case 11:59 Demo setup: the raw policy 16:32 Step 1: Employee-friendly check 17:28 What works and what to fix 19:27 Step 2: Plain English rewrite 21:06 Step 3: Build an employee FAQ 23:26 Step 4: Chatbot script for policy 29:14 Step 5: Intranet search keywords 32:42 Governance and legal review 34:35 Rollout tips and next steps 35:31 Wrap up and call to action #HR #AI #PeopleOps

A 360 review is only useful if it turns into action. In this episode of Beyond HR, Shveta Malhan and Jeff Wellstead show how to take 360 feedback and use A.I. to build a personalized 30-60-90 development plan that actually changes behavior. We start at the 30,000 ft team view, zoom to a single leader’s perception gaps, then land on a concrete, application-first plan tailored to leading A.I. adoption. What you will learn: • Why top-down reviews miss critical blind spots • How to synthesize 360 quantitative and qualitative data with A.I. • A simple path from team insights to an individual 30-60-90 plan • A promotion readiness lens using “Ready now” and “Ready soon” signals • The one-behavior shift that amplifies impact across a team • How L&D can productize personalized plans at scale Chapters: 00:00 Intro and why 360 often falls short 01:00 The 30k, 10k, on-the-ground approach 04:30 Team strengths and gaps for “Alex” 09:45 Risks and mitigations for A.I. adoption 15:20 Making sense of qualitative comments and word clouds 20:30 Perception gaps for “Jordan” 25:40 Promotion readiness framework 30:10 One high-leverage behavior shift 32:20 Building the 30-60-90 for A.I. adoption 38:30 What this unlocks for L&D 41:30 Wrap-up and next steps Prompts from the episode: • What are the biggest strengths and gaps the team sees in Alex’s leadership? • Identify team-wide strengths Alex can leverage for future projects. • What weaknesses should Alex watch out for when leading A.I. adoption? • What words or phrases appear most frequently in the development feedback? Show a mini word cloud or top five themes. • If this pattern continues, what risks does it pose to the team and the business? • What is the biggest perception gap between Jordan’s self-rating and how others experience Jordan? • Are there any hidden signals in the comments that point to readiness or risk for a senior role? • What single shift in behavior would have the biggest impact on how others perceive Jordan? • Build a 30-60-90 plan for Jordan focused on readiness as an A.I. adoption leader. Include monthly themes, actionable goals, on-the-job stretch assignments, and learning resources. If this helped, subscribe and share with an HR or L&D leader who wants to turn feedback into measurable growth. @BeyondHRyoutube #BeyondHR #AIinHR #PeopleAnalytics #LeadershipDevelopment #360Feedback #LND #HRTech

Most managers struggle with giving tough feedback — and most employees dread receiving it. But what if an A.I. copilot could help managers rewrite their feedback into something empathetic, actionable, and actually useful? In this episode of Beyond HR, Shveta Malhan and Jeff Wellstead show you exactly how GPT can coach managers through one of the hardest parts of leadership: the performance conversation. 👀 Watch us: - Run a live demo using real feedback examples - Compare blunt vs. balanced feedback side-by-side - Use AI to roleplay, rewrite, and reflect using SBI and SOAK frameworks Whether you're building a leadership program or coaching first-time managers, this episode will reshape how you think about feedback — and why A.I. might be the best coach in the room. 👥 Connect with Shveta Malhan: https://www.linkedin.com/in/shvetamalhan/ 🌐 https://yenza3.com 👥 Connect with Jeff Wellstead: https://www.linkedin.com/in/jrwellstead/ 🌐 https://www.bigbearpartners.com/ 🔔 Subscribe for more on how A.I. is reshaping the human side of work. ⏱️ Chapters 0:00 – Welcome & The Most Dreaded Task in Management 0:46 – Why Feedback Conversations Fail (and Hurt Retention) 2:18 – How AI Can Coach Empathy 4:40 – The Real Business Cost of Poor Communication 6:50 – Live Demo: From Blunt Feedback to Balanced Coaching 9:30 – Rewriting with the SBI Framework 12:00 – GPT's Rewrite: Empathetic, Clear, Effective 13:40 – Coaching with the SOAK Framework 17:00 – Roleplay: AI Simulates the Conversation 20:50 – Real-Time Coaching and Reflection 23:35 – Rethinking Leadership Development with AI 26:00 – What L&D Teams Should Do Next 30:00 – The Bigger Picture: Culture, Safety, and Retention 32:00 – Final Thoughts: Practicing Humanity, Not Replacing It #AIinHR #LeadershipDevelopment #FeedbackCulture #HRTech #BeyondHRPodcast

Welcome back to Beyond HR, where we go beyond process and policy to explore how AI is transforming the real work of HR. In this episode, Shveta Malhan and Jeff Wellstead dive deep into one of HR’s most critical (and flawed) practices—interviewing. From unconscious bias to inconsistent evaluations, traditional interviews are overdue for reinvention. ✨ What you'll learn: - Why interviews often fail—even with the best intentions - How AI can help structure fair, consistent, and predictive interviews - Ways to generate job descriptions, behavioral questions, and unbiased scorecards using AI - Live demos of AI tools in action: from prompt design to candidate evaluation - How to test your own interview questions for bias using AI - Why this shift isn’t just about speed—it’s about making better hires 💡 Whether you’re an HR leader, a hiring manager, or just AI-curious, this episode will give you tangible takeaways to rethink your hiring process. 👥 Connect with Shveta Malhan: https://www.linkedin.com/in/shvetamalhan/ 🌐 https://yenza3.com 👥 Connect with Jeff Wellstead: https://www.linkedin.com/in/jrwellstead/ 🌐 https://www.bigbearpartners.com/ 00:00 – Intro: Why Interviews Are Broken 01:18 – Common Hiring Gaps & Biases 02:53 – The Cost of a Bad Hire 04:11 – Affinity, Confirmation & Anchoring Bias Explained 07:32 – How A.I. Can Help Reduce Interview Bias 08:37 – Using A.I. to Write Better Job Descriptions 10:35 – Prompt Demo: Crafting a Job Description with A.I. 12:58 – Prompt Strategy: Assigning Personas to A.I. 14:05 – Building a Structured Interview Guide with A.I. 17:48 – Using A.I. to Standardize Questions Across Interviews 21:20 – Testing Custom Questions for Bias with A.I. 24:35 – Real-Time Coaching for Hiring Managers 27:49 – Summarizing Interview Notes with A.I. 29:49 – Demo: Evaluating Five Candidates with GPT 32:53 – Final Rankings and Rationales 34:57 – The Future of Interviewing with AI Co-Pilots 38:03 – Emerging Tools & the Rise of Interview Intelligence 40:49 – Advice for CHROs: Where to Start 43:54 – Final Thoughts: From Faster Hiring to Smarter Decisions 👉 Don’t forget to like, subscribe, and share this with your talent acquisition teams. Let’s go Beyond HR—together. #BeyondHR #AIinHR #InterviewingWithAI #HRTransformation #StructuredInterviews #PeopleAndAI

How AI is Transforming Performance Management? Welcome to Beyond HR with Shveta Malhan and Jeff Wellstead. In this episode, we explore how A.I. changes the game in performance management—from rewriting vague feedback to identifying patterns with data. This isn’t theory—we show you real examples and live GPT demos that HR pros can start using today. 🧭 What You'll Learn: - The painful truths of today’s performance management process - How to use ChatGPT to rewrite vague feedback - How A.I. tools can surface team burnout and manager rating biases - Why this shift frees HR to be more strategic than ever before 🧪 Live Demo Highlights: 00:00 – Intro: Why performance management is broken 04:00 – Rewriting vague feedback with GPT 08:00 – Spotting manager bias and rating inconsistencies 20:00 – Visualizing HR data and simplifying insights 28:00 – Why A.I. gives HR “superpowers” 👥 Connect with Shveta Malhan: https://www.linkedin.com/in/shvetamalhan/ 🌐 https://yenza3.com 👥 Connect with Jeff Wellstead: https://www.linkedin.com/in/jrwellstead/ 🌐 https://www.bigbearpartners.com/

Welcome to the first episode of Beyond HR! Hosted by Shveta Malhan and Jeff Wellstead, this series explores how AI is disrupting traditional HR—and why HR leaders must rethink how they operate, design, and deliver value. In this kickoff episode, we dive into the imagination gap holding HR back and unpack why simply automating current processes isn’t enough. We explore: 🔹 Why generative AI is unlike any past tech wave 🔹 The shift from optimizing HR to redesigning it 🔹 The concept of the Superworker and what it means for HR 🔹 How AI changes performance management, recruitment, and HR structures 🔹 Lessons from failed transformations—and how to do it better this time This isn’t just talk. It’s a strategic reframing of HR's role in the age of intelligent machines. 00:00 – Welcome: Why Beyond HR? 01:30 – How AI is unlike past tech transformations 03:45 – Why HR must go beyond optimization 07:00 – The tsunami analogy & imagination gap 11:00 – What is a Superworker? 18:00 – The 3 AI capabilities: automation, augmentation, agents 24:00 – Rethinking HR structure and value 33:00 – Lessons from past transformation failures 39:00 – Why change must be people-first 42:00 – Where should HR begin? 🔗 Resources Mentioned Josh Bersin’s Rise of the Superworker article → https://joshbersin.com/2025/01/the-rise-of-the-superworker-delivering-on-the-promise-of-ai/ Crossing the Chasm by Geoffrey Moore - https://en.wikipedia.org/wiki/Crossing_the_Chasm 💬 Join the Conversation Which HR process do YOU think should be reinvented first using AI? Drop your thoughts in the comments 👇 #BeyondHR #AIinHR #Superworker #FutureOfWork #HRTransformation #GenerativeAI #HRTech #PeopleAnalytics #HRLeadership