Peter Louch, the CEO of Vemo - Workforce Planning, joins the Directionally Correct podcast for our latest HR Tech Voices episode of 2026. In this episode, we discuss how Vemo is a robust workforce planning platform that utilizes predictive analytics and AI to automate supply and demand modeling, helping organizations forecast talent needs by bridging the gap between internal job taxonomies and external market data.

Book a demo today with Vemo - Workforce Planning!

In this wide-ranging and deeply practical conversation, Peter shares how workforce planning has evolved from static spreadsheets and reactive headcount decisions into a strategic, data-driven discipline that directly impacts business resilience and growth. He explains why many organizations struggle with workforce planning today, not because of a lack of data, but because their internal job architectures, skills frameworks, and headcount models are disconnected from real labor market signals. Peter walks through how Vemo was designed to solve that exact problem by creating a dynamic bridge between internal workforce data and continuously updated external market intelligence.

Peter also breaks down how predictive analytics and AI can move organizations beyond backward-looking reports toward forward-looking scenarios, enabling leaders to test assumptions, anticipate talent shortages, and understand the downstream effects of hiring, upskilling, redeployment, or attrition before those decisions are made. The discussion explores how automated supply and demand modeling allows companies to shift from annual planning cycles to ongoing, adaptive workforce strategies that respond to business change in near real time.

Throughout the episode, we dive into the challenges of standardizing job taxonomies across large enterprises, the risks of relying on inconsistent job titles and legacy role definitions, and how aligning internal structures with external labor data can unlock far more accurate forecasting. Peter shares real-world examples of how organizations are using workforce planning not only to support HR, but to inform finance, strategy, and executive decision-making. He also discusses how AI can augment human judgment in workforce planning, rather than replace it, by giving leaders better inputs, clearer tradeoffs, and stronger confidence in their decisions.

We also explore the future of workforce planning as AI adoption accelerates, roles continue to evolve, and skill requirements change faster than traditional planning models can keep up. Peter offers insights into where HR technology is heading, what capabilities organizations should prioritize, and how workforce planning can become a competitive advantage rather than a compliance exercise. This episode is especially relevant for HR leaders, people analytics teams, finance partners, and executives who want to move from reactive headcount management to proactive talent strategy.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, JR Keller, Associate Professor & Faculty Director of the Executive Master of Human Resource Management Program at Cornell!

In this wide-ranging and deeply practical conversation, JR joins the show to unpack what actually works when organizations try to build internal talent marketplaces, rethink career mobility, and align people strategy with real business outcomes. Drawing on his academic research, teaching experience, and extensive work with practitioners, JR challenges common assumptions about skills-based organizations, career paths, and the role of managers in enabling growth at scale.

Throughout the episode, JR and the hosts explore why so many internal mobility efforts fail despite good intentions, and what separates meaningful progress from surface-level adoption. JR explains how organizations can move beyond buzzwords to create systems that truly connect employees to opportunities, while also meeting leaders where they are. The discussion digs into the tension between central talent strategies and frontline realities, and why ignoring that gap often derails even the most sophisticated people analytics initiatives.

Listeners will hear thoughtful insights on how data, transparency, and trust intersect in talent systems, as well as the cultural and structural barriers that slow momentum. JR shares examples from both research and practice that illustrate how internal marketplaces can reshape careers when designed with clarity and empathy, and why incentives, governance, and leadership capability matter just as much as technology. The episode also touches on the evolving expectations of workers, how organizations should think about skills versus jobs, and the implications for HR leaders trying to future-proof their workforce.

This conversation goes beyond theory, offering grounded guidance for HR, people analytics, and talent leaders who are wrestling with real-world constraints. JR’s perspective brings nuance to debates around AI, skills taxonomies, and internal opportunity platforms, emphasizing that sustainable change comes from aligning systems, behaviors, and values over time. Whether you are just beginning to explore internal mobility or trying to course-correct an existing program, this episode delivers practical takeaways and strategic framing you can apply immediately. Listenin challenge your assumptions. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, Cole Nussbaumer Knaflic, CEO of Storytelling with Data!

In this wide-ranging and thoughtful conversation, host Cole Napper (CN) sits down with Cole Nussbaumer Knaflic (CNK), one of the most influential voices in data visualization, to reflect on a decade of impact, evolution, and hard-earned lessons from the world of analytics, storytelling, and communication. CNK revisits her seminal book Storytelling with Data on the occasion of its 10th anniversary edition, sharing what has stood the test of time, what she feared breaking by revisiting it, and why simplicity, audience-first thinking, and intentional focus matter even more today amid rapid advances in technology and AI. She explains how her teaching has evolved from basic story frameworks to the richer narrative arc, introducing tension that matters to the audience and resolving it through clear action, a structure that maps naturally to real business problems and decision-making.

The conversation also dives deep into CNK’s newest book, Before and After, a visually striking, case-based guide inspired by real client work that reveals not just the final polished output, but the thinking, tradeoffs, and transformation that occur between a messy starting point and an effective data story. CNK explains why seeing that process is so powerful, how anonymized client examples help people move past “our data is different,” and why makeovers resonate across industries. Along the way, she reflects on the human side of communicating data, emphasizing that charts alone are never enough and that confidence, clarity, and delivery play an equally critical role in whether insights lead to impact.

Listeners also hear CNK’s reflections on her early career as part of Google’s foundational people analytics team, a period she describes as genuinely magical. She shares stories of discovering insights in data no one had ever examined before, blending statistical rigor with HR partners’ contextual knowledge, and learning firsthand that data without context is incomplete. That experience, she explains, shaped her belief in collaboration, data literacy, and the ethical responsibility that comes with influence. The episode explores her entrepreneurial journey, including why she tested demand before leaving Google, how focus and ruthless prioritization helped her grow Storytelling with Data while starting a family, and why saying no was just as important as saying yes.

The discussion touches on her full portfolio of work, from practitioner workbooks and presentation-focused guides to Daphne Draws Data, her children’s book aimed at building early data literacy through curiosity and problem solving. CNK’s passion for helping people think more clearly, ask better questions, and communicate with integrity shines throughout, as does her commitment to using storytelling not to manipulate, but to make data understandable, honest, and actionable. This episode is packed with insights for people analytics professionals, data practitioners, leaders, and anyone who wants their work to land, resonate, and drive real change.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, George LaRocque, Founder of WorkTech!

In this wide-ranging and deeply analytical conversation, Cole sits down with George to unpack the evolution from “HR tech” to “work tech,” why that distinction matters, and how shifting investments are redefining who technology is really being built for. George explains how early HR systems were designed primarily for back-office users, but how modern work tech increasingly serves employees, candidates, and the broader enterprise, driven by advances in data, AI, and platform thinking.

Check out this episode of the #1 people analytics podcast with special guest & host, Cole Napper, with an AMA Episode along with guest host, Chayce Kowalski!

In this ask-me-anything style session, Cole and Chayce dive into audience-driven questions covering the realities of modern people analytics, the evolution of careers in the field, and how practitioners should think about AI, leadership, and delivering impact across the business.

Check out this episode of the #1 people analytics podcast with special guest, Joey Price, CEO of Jumpstart HR & Industry Analyst at Aspect43!

In this wide-ranging and insightful conversation, Joey and Cole dive deep into the evolving world of HR technology, the impact of AI on HR teams, and how HR professionals can build meaningful, future-proof careers. Joey shares the backstory behind his new book The Power of HR, written to elevate the modern HR professional’s confidence, strategy, and leadership capabilities. He discusses how the book has been received, the challenges of writing it while running a business and being a parent, and the growing community of HR authors and leaders who support each other’s work.

Joey opens up about his unconventional path into HR—from playing and managing in a band to discovering the strategic side of business and eventually becoming an industry analyst. He explains how understanding creativity, discipline, and team dynamics in music shaped his views on leadership and employee experience. He also talks about Jumpstart HR’s acquisition of Aspect43 and why buyer sentiment research is becoming essential in HR technology as organizations navigate rapid digital transformation.

A major thread throughout the episode is the disruptive force of AI. Joey shares research showing that 40% of HR teams have no clear plan for AI integration, even as CEOs and CFOs increasingly influence HR technology buying decisions. He breaks down how AI is reshaping people analytics, workforce planning, and talent intelligence—and why HR must shift from focusing only on soft skills to developing stronger technological and strategic expertise. Cole and Joey also explore the tension employees are feeling as white-collar workers face uncertainty, shifting expectations, and rapid changes created by new tools.

The conversation turns to geopolitics, global labor trends, and what HR leaders should expect in 2026—from employer-driven labor markets to major advances in HR tech product roadmaps. Joey shares emerging insights on compliance technology, wellness tools, and the evolving expectations of employees across industries. He also introduces his new project, Joey’s HR Lounge, a podcast and community designed to generate more honest dialogue and strengthen the collective intelligence of HR professionals.

In Cole’s Corner, the two dig into research on birth order, workplace behavior, societal trust, and how technology—especially generative AI—is influencing communication, decision-making, and accuracy. They grapple with recent studies showing AI doesn’t simply hallucinate, it bluffs, and discuss how reinforcement learning and user behavior reinforce this pattern. The episode ends with Joey’s personal mission: helping more people become excited about Monday than Friday, and the real meaning of making an impact in HR through trust, strategic clarity, and thoughtful leadership.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Cara Christopher, the Chief Marketing Officer at Lightcast, joins the Directionally Correct podcast for our latest HR Tech Voices episode of 2025. In this episode, we discuss how Lightcast is the labor market intelligence company providing the essential external data and context layer for strategic HR decisions and the data backbone for future AI applications! Book a demo today with Lightcast!

Articles discussed:

The Tree of Value

Job Architecture is the Yellow Brick Road

Beyond The Buzz: Developing the AI Skills Employers Actually Need

Lightcast, formed from the merger of Emsi and Burning Glass, has spent over 25 years pioneering labor market intelligence by combining billions of global job postings, 1.2 billion career profiles, and government LMI sources into the world’s deepest external labor-market dataset. Serving enterprises, higher education, and public-sector clients worldwide, Lightcast delivers the outside-in perspective that internal HR data alone simply cannot provide.

The discussion dives deep into why Lightcast matters now more than ever for HR and people analytics leaders. Cole explains how he moved from being famously “skills negative” to championing Lightcast’s universal skills taxonomy and occupational framework as the only truly objective, market-validated way to build credible skills strategies. Cara and Cole explore real-world use cases: understanding true supply and demand, compensation benchmarking, competitive intelligence through Gain & Drain analysis, curriculum alignment for universities, regional economic planning, and building agile job architecture that can evolve with AI-driven change.

They unpack recent Lightcast research that cuts through the noise. “Beyond the Buzz” reveals that AI-related roles are not confined to tech (over half fall outside IT), AI skills already command a 28% salary premium (roughly $18,000/year), and disruption varies dramatically by occupation and career area. “The Tree of Value” unites the historically siloed fields of people analytics, strategic workforce planning, talent intelligence, and behavioral science under shared human-capital roots, showing how external data forms the connective tissue. “Job Architecture is the Yellow Brick Road” demonstrates how Lightcast data plus emerging skill agents enable dynamic, future-ready job families instead of static ones that break the moment the market shifts.

Looking ahead, Cole and Cara agree that as AI proliferates, the winners will not be the companies that build yet another chatbot, but those who secure high-quality, curated data as the semantic layer powering every AI application in HR. Lightcast is deliberately positioning itself as that trusted data backbone (via APIs, data shares, classification engines, and soon Beacon, a 2026 workflow-driven visualization platform) rather than just another visualization tool on the pile.

From Moscow, Idaho headquarters to global offices, sturgeon fishing on the Snake River to reigniting a D1 tennis career, the episode blends deep labor-market insight with personal chemistry, revealing why external labor market intelligence has finally moved from interesting to indispensable for forward-thinking HR leaders.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with hosts, Cole Napper and Scott Hines where we talk about 150 episodes of the Directionally Correct podcast, reflecting on “colossal achievements,” sharing challenging behind-the-scenes stories like “rough” early episodes and technical woes, and discussing how we use the show for candid “hallway conversations” about people analytics, behavioral science, and the impacts of AI in the workplace!

In this milestone episode, Cole and Scott take listeners on a nostalgic and hilarious trip down memory lane—from the early days of recording in closets to learning the hard way about audio setups, live shows, and caffeine-fueled conference chaos. They share personal reflections on what 150 episodes have taught them about curiosity, innovation, and why meaningful conversations about analytics and people always matter.

The duo reminisces about standout guests and unforgettable moments: debates with Chris Castille, lively talks with Alexis Fink and Mark Efron, and their favorite insights from episodes with Mike Knott, JP Elliott, and even a few “too hot for air” live sessions. They also reflect on how the show evolved—from a scrappy side project into one of the most trusted spaces for authentic, unfiltered discussions about data, talent, and the human side of work.

Beyond the laughs, the hosts dive into what keeps them going: the power of storytelling, humor, and curiosity. They discuss how behavioral science, people analytics, and workforce data can illuminate what drives performance, innovation, and connection at work. The conversation touches on themes like the psychology of innovation, the importance of experimentation in analytics, and how AI and automation are reshaping organizational life.

True to form, Cole and Scott deliver their signature mix of wit and insight—musing about memorable SCOP conference stories, funny missteps, “trinket conversations,” and even the importance of psychological safety and simplicity in research. They explore how conversations that once started as casual hallway debates have grown into global dialogues influencing HR, AI, and data-driven decision-making.

As the episode unfolds, they celebrate not just the show’s longevity but its deeper purpose—creating a space where professionals can laugh, learn, and challenge ideas about work, leadership, and analytics. Whether they’re joking about Waffle House, teasing each other about Star Trek tangents, or analyzing the Lindy effect of podcast longevity, it’s clear this milestone is about gratitude, growth, and community.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, JP Elliott, the Founder of Future of HR Consulting! In this insightful and fast-paced conversation, hosts Cole and Scott sit down with JP to discuss what the future of HR looks like in a world increasingly shaped by AI, analytics, and automation. JP, a former CHRO turned entrepreneur and host of the Future of HR Podcast, shares his personal journey from corporate executive to business owner, offering an inside look at what it takes to build programs that help elevate next-generation HR leaders.

Throughout the episode, JP dives into how AI is transforming the workforce, why the idea of the “AI superworker” is more hype than reality, and what it truly means to create value in HR. He explains that while AI can automate certain tasks, it cannot replace creativity, critical judgment, or the human touch that drives real leadership. Drawing from his experience developing the NextGen HR Accelerator and advising Fortune 500 companies, JP outlines a new framework for HR leaders: innovate like a product manager, think like an investor, build brands like a marketer, and redesign work like an AI engineer. These mindsets, he argues, are what will define the next era of people and talent leadership.

Cole and Scott explore with JP the evolving role of middle management in an AI-powered world. While some organizations are cutting layers of leadership in the name of efficiency, JP argues that middle managers remain essential translators between strategy and execution. Without them, companies risk losing alignment, communication, and the human relationships that hold organizations together. The group also debates whether employee engagement surveys are becoming obsolete, with JP predicting that real-time sentiment analysis and continuous listening platforms will soon take their place, creating a more dynamic, data-driven view of the workforce.

The conversation takes a personal turn as JP shares his reflections on entrepreneurship, parenting, and what it means to find fulfillment in work. Running his own business, he admits, brings freedom and stress in equal measure—every win feels personal, and every mistake becomes a lesson. He emphasizes the importance of autonomy, agency, and executive presence as core leadership traits. Developing executive presence, he explains, takes years of practice and self-awareness: knowing who you are, controlling your emotions, and showing up with calm confidence. It’s about cultivating influence, not authority. JP credits his own growth to mentors, self-reflection, and a willingness to fail publicly—something he believes all future leaders must embrace.

The trio also tackles some lighter topics: whether a hammock is a chair, how AI tools like ChatGPT are reshaping creativity, and the challenge of staying authentic in a world obsessed with perfection. Beneath the humor, the conversation returns repeatedly to one theme—balance. As JP notes, technology can enhance productivity, but it cannot replace purpose. True growth comes from learning through mistakes, building relationships, and using data to empower—not dehumanize—the workplace.

JP’s candor, humor, and vision for the future of HR make this episode a must-listen for anyone passionate about people analytics, leadership development, and the intersection of AI and human potential. He leaves listeners with an important message: the most powerful HR leaders of tomorrow will be those who blend analytics with empathy, strategy with storytelling, and data with a deep understanding of what makes people thrive.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, ⁠Dr. Mike Knott⁠, Principal of People Insights and Analytics at Medtronic! In this candid and heartfelt conversation, hosts Cole and Scott dive deep into Mike’s journey through fatherhood, infertility, and the real-world challenges that come with balancing life, work, and purpose. Mike opens up about his family’s IVF story—from the emotional and financial hurdles to how Medtronic’s fertility benefits changed his life—and reflects on the broader conversation around infertility, parenting, and workplace support.

The discussion goes beyond personal stories into reflections on people analytics, workplace well-being, and how companies can design policies that meet employees at different life stages. Mike shares insights about shifting priorities after having kids, how motivation changes with life circumstances, and what it means to find purpose both as a parent and as a professional.

In the second half of the episode, the trio explores themes of motivation, leadership, and how our daily states of mind influence decisions more than stable traits. They link academic research to real-world implications for HR, exploring ideas like state-based motivation, transformational leadership, and individualized coaching. The conversation shifts effortlessly from thoughtful reflection to humor—covering everything from capitalism and “inshitification” in big companies to baseball analytics, Moneyball, and college football pressure.

Dr. Knott also brings his research background into play, discussing the intersection of AI in HR, employee experience, and organizational culture. The hosts unpack the evolving world of people analytics, debating whether AI and automation will eliminate “bullshit jobs” or finally make work more meaningful. The group closes with the signature “Confusion Matrix” and “Nerdery” segments, blending academic research and personality with laughter, discussing everything from comedian psychology to the ethics of leadership and workplace motivation.

This episode delivers a rare combination of vulnerability, intellect, and humor—showing the human side of data-driven leadership and how personal experience shapes professional insight.

Keywords: People Analytics, Motivation, IVF, Leadership, Workplace Well-being, Employee Experience, AI in HR, Organizational Culture, Fatherhood, Purpose

If you like this episode, you’d also love exploring prior episodes—visit ⁠colenapper.com⁠ for the full archive and show links.