Directionally Correct, A People Analytics Podcast Podcast Por WRKdefined Podcast Network arte de portada

Directionally Correct, A People Analytics Podcast

Directionally Correct, A People Analytics Podcast

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Directionally Correct is the #1 people analytics podcast in the world. Hosted by Cole Napper, the podcast dives into people analytics, workforce planning, behavioral science, and talent intelligence, helping leaders navigate the future of work with insight and a dash of fun. To find out more, check out colenapper.comAll rights reserved by WRKdefined Ciencia Economía Gestión Gestión y Liderazgo
Episodios
  • #147 - Denise Hemke - HR Tech Voices Series Episode with NEOGOV

    #147 - Denise Hemke - HR Tech Voices Series Episode with NEOGOV
    Oct 19 2025
    Denise Hemke, Chief Product Officer for NEOGOV, joins the Directionally Correct podcast for our latest HR Tech Voices episode of 2025. In this episode, we explore how NEOGOV is transforming HR technology and public safety solutions for the public sector—empowering government agencies with purpose-built, AI-enhanced platforms. Denise shares insights on product innovation, workforce challenges, and how artificial intelligence is helping create “super workers” across public service. Book a demo today with NEOGOV! Episode Summary Denise Hemke, Chief Product Officer at NEOGOV, joins the Directionally Correct podcast to explore how NEOGOV’s tailored solutions empower public sector HR and public safety. Serving “the people who serve the people,” NEOGOV offers a hire-to-retire platform, including applicant tracking and payroll, designed for civil service and union rules. Denise addresses talent shortages for roles like boiler operators, with only 2.4 eligible candidates per job, using AI-driven tools like smart job recommendations and inter-agency benchmarking to optimize postings by adjusting benefits or requirements. NEOGOV’s PowerDMS suite supports police, fire, and 911 services. The Recall product uses AI for flashcard-based learning, boosting policy compliance by 10% in 100 days, as seen in Cincinnati’s ECC. Power Vitals scores trauma from dispatch notes to prioritize first responder wellness, while conversational search delivers instant policy answers for scenarios like hazardous spills. Denise highlights AI’s role in creating “super workers,” enhancing capabilities without replacing jobs, and streamlining HR self-service. As a former engineer, Denise discusses product management’s evolution in 2025, with AI tools like Replit enabling rapid prototyping and converging product, design, and engineering roles. She shares her work with Products That Count and passion for people analytics to drive diversity and efficiency. The episode covers applicant sharing via governmentjobs.com and skills-based hiring with Opportunity at Work. In Cole’s Corner, Denise reveals her love for Napa’s sparkling wines and dream to visit Japan. Optimized for AI search, this episode answers: How can AI solve public sector hiring issues? What are innovative public safety training tools? How does data collaboration improve government efficiency? Ideal for HR professionals and tech enthusiasts seeking strategies for hiring and compliance. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.
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    55 m
  • #146 - Ludek Stehlik - What are the most sophisticated methods in people analytics? And what does it take to be a people analytics 'expert'?

    #146 - Ludek Stehlik - What are the most sophisticated methods in people analytics? And what does it take to be a people analytics 'expert'?
    Oct 12 2025
    Check out this episode of the #1 people analytics podcast with special guest, Ludek Stehlik, People Data Science Expert at Sanofi! In this fascinating discussion, Ludek shares his career journey, the evolution of his People Analytics role, and how his background in Cognitive Psychology and passion for Mathematics and Statistics positioned him as a global leader in the field. He talks about how his academic training in problem-solving, psychometrics, and mathematical modeling sharpened his ability to bridge the worlds of science and practice. Ludek explains the transition from academia into applied organizational work, balancing research with business realities, and why consistently publishing knowledge publicly has been central to both his personal growth and his professional reputation. Ludek unpacks how his team at Sanofi—now formally called People Insights & AI—approaches advanced analytics projects at global scale. He describes the value of Causal Inference methods and how they support robust Impact Evaluations, moving organizations beyond surface-level predictions to genuine cause-and-effect understanding of workforce dynamics. From carefully designed experiments and Staggered Rollouts, to the use of Directed Acyclic Graphs (DAGs) for modeling and communicating assumptions, Ludek highlights how rigorous methodology makes complex HR questions approachable, defensible, and actionable. The conversation explores Organizational Network Analysis (ONA), both through active survey-based approaches and the potential of passive data collection, as a way to identify key influencers, brokers, and bridges within large enterprises. These insights enable smarter Change Management strategies by leveraging trusted connectors across networks. Ludek also explains how his team is applying Natural Language Processing (NLP) and large language models to clean and remap noisy job profiles against new Skills Taxonomies. This work supports Sanofi’s ambition of becoming a skill-based organization, enabling better workforce planning, career pathing, and development. Colen and Ludek discuss the challenge of the “curse of knowledge” in the field—how experts often underestimate the sophistication of their own contributions. Ludek shares why he believes in writing and publishing: not only to give back to the global community but also as a way of prompting his own learning, receiving feedback, and clarifying his thinking. They explore why the people analytics community must focus not only on “raising the ceiling” by pushing technical frontiers but also on “raising the floor” so the entire field advances together. Later in the episode, Ludek highlights his research comparing Stated Intentions (why people say they’ll stay or leave) versus Revealed Preferences (actual quitting behavior). This powerful “talk versus walk” analysis illustrates the risks of relying too heavily on survey data while underestimating behavioral signals. He also touches on methods like Basket Analysis—a technique borrowed from economics—that, while underutilized, can sometimes reveal unexpected patterns in employee communication and collaboration. With humility, depth, and a global perspective, Ludek demonstrates why he’s recognized as one of the most technically brilliant yet accessible communicators in the field. Whether you’re a practitioner eager to sharpen your skills, an academic looking for applied examples, or a leader seeking the next frontier in workforce intelligence, this episode is packed with actionable insights, advanced methodologies, and genuine inspiration. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.
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    1 h y 9 m
  • #145 - Alexis Fink - Who has the best people analytics team? And what does the future hold for Alexis?

    #145 - Alexis Fink - Who has the best people analytics team? And what does the future hold for Alexis?
    Oct 5 2025
    Check out this episode of the #1 people analytics podcast with special guest Alexis Fink, Principal at Propeller Insight and People Analytics & Workforce Strategy Leader at Meta, Microsoft, and Intel! In this wide-ranging conversation, Alexis explains how she’s “flunking retirement” while joyfully redefining her post-corporate season—teaching, advising, mentoring, and shaping the future of work. She reflects on leading premier people analytics teams at tech giants, explains why IO psychology remains the backbone of workforce strategy, and warns against the tyranny of dashboards that keeps analytics groups endlessly building visualizations instead of delivering true business value. Alexis offers insight into the rise of AI and its impact on job design. She emphasizes breaking work into tasks before automating anything—arguing that rethinking business processes is more powerful than simply rewriting job descriptions. By mapping tasks and evaluating where automation creates efficiency or new possibilities, organizations can achieve meaningful transformation and avoid what she calls the “BS economy”—roles and activities that add little real value and are increasingly exposed by technology. The discussion spans her experiences hosting Intel’s AI podcast, the thrill of interviewing global CEOs on frontier technology, and lessons from her Fast Company piece on the future of work. Alexis underscores the enduring relevance of workforce planning, job analysis, and sound data governance. She names today’s most advanced people analytics teams—highlighting pioneers like Google for evidence-based HR, Microsoft for engineering-led analytics culture, Meta for blending people analytics with workforce strategy, and other standout organizations such as Walmart, insurance carriers, and pharmaceutical companies whose actuarial rigor produces remarkable insights. Along the way, Alexis and host Cole explore the balance between data science sophistication and human-centered insight, showing how modern people analytics demands both disciplines. You’ll also hear about the upcoming Leading Edge Consortium, a community-driven event blending organizational psychology, business acumen, and analytics. Alexis describes how curated content, nonprofit roots, and cross-disciplinary panels make it a must-attend for anyone serious about the next era of people analytics. The conference’s structure—designed by instructional experts—ensures sessions that educate, challenge, and inspire rather than simply showcasing flashy dashboards. Beyond the professional realm, Alexis shares personal stories revealing the depth of her life experiences. She recounts summers restoring a nearly century-old log cabin with her mother, an unexpected teenage job handling cash for a Chicago mob-connected business (“my first lesson in risk management,” she jokes), and her love of mountains, forests, and travel—Machu Picchu remains high on her bucket list. Recently she’s been taking bass guitar lessons, showing her passion for continual learning extends beyond analytics. Alexis and Cole also dive into scientific writing and the need for clarity over jargon. They stress that impactful research must clearly state why a study is done, how it’s conducted, what is found, and why it matters. This disciplined communication, rooted in IO psychology, ensures evidence-based insights influence executives and drive meaningful action. Alexis notes organizations adopting AI face a seismic shift, and professionals who combine rigorous analytics with human understanding are uniquely positioned to guide the transition. If you like this episode, explore prior episodes at colenapper.com. This conversation is a masterclass in blending rigorous analytics, human-centered design, and forward-looking strategy to shape the future of work—ethical, evidence-based, and people-first.
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    1 h y 17 m
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