Couverture de Workplace Stories by RedThread Research

Workplace Stories by RedThread Research

Workplace Stories by RedThread Research

De : Stacia Garr & Dani Johnson
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Workplace Stories is a podcast for HR and people leaders who are tired of noise and need clarity that actually holds up. It is hosted by Stacia Garr and Dani Johnson of RedThread Research.

Each episode features candid conversations with practitioners, thinkers, and executives who are navigating real decisions inside complex organizations. Not hypotheticals. Not vendor promises. Real tradeoffs, real experiments, and real lessons learned along the way.

You’ll hear how leaders are making sense of skills, AI, organizational design, and culture when there’s no clear playbook and pressure to show progress is high. The focus is always the same: what’s actually working, what isn’t, and what leaders are doing next.

Workplace Stories helps you make sense of complexity, build credibility with evidence, and move from ideas to action with more confidence.

Want to be part of the conversation? Join our community for free and connect with others shaping the future of work.

Learn more about RedThread Research here: https://redthreadresearch.com/homeRedThread Research 2026
Economie Management Management et direction
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  • Three Paths for L&D in the Age of AI: Don Taylor & Egle Vinauskaite
    Jun 24 2026
    Learning and Development (L&D) is at a crossroads. As artificial intelligence (AI) accelerates changes in the workplace, L&D’s traditional stronghold—the creation and curation of content—is rapidly losing its strategic value. In this episode, I discuss the rapidly evolving intersection of AI and Learning & Development (L&D) with Don Taylor and Egla Vinauskaite. Our conversation explores how the AI “on ramp” has disappeared, leaving many L&D organizations feeling left behind, and highlights the importance of direction, not just decision, for real transformation. You will want to hear this episode if you are interested in...[05:56] Early years of AI in L&D[08:16] Adapting to AI in Industry[18:44] Technological turmoil and AI evolution[20:29] Challenges in transforming organizations[25:40] Decision-making and organizational hierarchy[28:59] Importance of fieldwork and presence[37:42] Understanding Drag in L and D[46:49] Role of a Leader in Change[53:40] Activating independent organizational growthThe Vanishing ‘On-Ramp’ and the Challenge of Catching UpThe rapid evolution of AI in the workplace has created a new sense of urgency for L&D teams. In 2023, everyone was at the same starting line, experimenting with generative AI tools for the first time. Now, the landscape has shifted dramatically, with advanced conversations moving toward AI agents and full-scale workforce transformation. Those who didn’t jump on the AI bandwagon early are finding it increasingly difficult to catch up, with the “on-ramp” to entry effectively gone for newcomers. This sense of inaccessibility is causing some people to self-select out of L&D entirely, feeling left behind by the accelerating pace of change.The Disappearing Content MoatFor years, L&D has built its identity around its expertise in content creation—the so-called “moat” that protects its value. But the rise of AI has reduced the barriers to creating effective learning content. Anyone can now create quality resources with minimal expertise, eroding the unique advantage L&D once held. Content can no longer be the cornerstone of L&D’s strategy. Instead, L&D needs to determine its new value proposition in a world where content is ubiquitous.The Transformation TriangleThe Transformation Triangle proposes three potential futures for L&D organizations.Skills Authority: Organizations that pursue this path become the go-to stewards for everything related to skills in the business—tracking what skills exist, what’s needed, and how to develop them. They treat skills as a critical business asset and ensure the organization stays competitive by closing gaps efficiently.Enablement Partner: Acting as connectors rather than creators, these organizations focus on surfacing, amplifying, and distributing the expertise already embedded within the workforce. Their role is to ensure knowledge flows efficiently where it’s needed to elevate performance organization-wide.Adaptation Engine: The most transformative model, these teams see themselves as stewards of organizational adaptability. They diagnose and address performance issues as complex systems problems—sometimes solving them through learning, but often intervening through process or tool changes to maximize business impact.None of these are final destinations—organizations may move between them, combine elements, or adapt over time.Overcoming Structural, Cultural, and Capability DragAchieving escape velocity from the gravitational pull of content-focused L&D isn’t easy. In the conversation, we identify three types of “drag” that hold teams back:Structural drag: Where L&D sits in the org chart and its direct authority.Cultural drag: Long-standing perceptions of L&D’s role as content creators.Capability drag: Skills and mindsets required to operate in new, more impactful ways.Successfully overcoming these drags and embedding new models into systems and infrastructure. ensures changes stick even as leaders come and go. Resources & People MentionedLearning Technologies in the Workplace by Don TaylorClaude CodeClaude CoworkMicrosoft CopilotOne of Each | Newsletter by NodesGlobal Sentiment SurveyConnect with Don Taylor & Egle VinauskaiteEgle Vinauskaite on LinkedIn Don Taylor on LinkedIn Connect With RedThread ResearchWebsite: RedThread ResearchOn LinkedInSubscribe to WORKPLACE STORIES
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    59 min
  • Inside Hearst Networks’ Culture and Profit Revolution: Lucy King & Dean Possenniskie
    Jun 10 2026
    Organizational change is now a constant rather than a phase. Few stories illustrate this better than Hearst Networks’ journey, as shared by Dean Possenniskie, CEO, and Lucy King, Chief People Officer, on this episode of Workplace Stories. Moving from a legacy cable business into a diversified, higher-margin media powerhouse, Hearst proves that reinvention is possible not just for startups but for well-established companies with deep roots and long histories.Hearst, an organization with a legacy and heritage, and a willingness to continually reinvent itself, has adopted the “phoenix” metaphor to frame its transformation. They’ve made hard choices, like closing brands, exiting joint ventures, and even shutting offices, before expanding into new partnerships with giants like Sky, Amazon, Apple, and YouTube. You will want to hear this episode if you are interested in...[07:59] Working in HR during transformations[12:36] Transitioning to full Hearst ownership[18:29] Crafting a purpose statement[21:12] Why it pays to implement a coaching mindset[25:30] Investing in learning and development[32:11] Defining company values and culture[37:08] Improving profitability and growth focus[39:16] Valuing autonomy and trust at Hearst[44:15] Encouraging innovation company-wide[47:14] Balancing governance with creative autonomyCulture at the CoreCulture is often seen as a soft layer, a set of values on a wall, or the flavor of the latest offsite. Dean Possenniskie and Lucy King see it differently: culture had to be the engine of transformation, integral to performance and strategy. One of Dean’s earliest moves was to reposition the people and culture function away from finance, placing it directly alongside the CEO—a signal of culture’s importance as a business driver.The results speak for themselves. While revenues declined 20%, margins grew by more than 40%, and internal workplace surveys saw “great place to work” scores leap from 53% to over 80%. This wasn’t about being “nice,” but about creating a place where people could do their best work, take risks, and feel empowered.Building Change MuscleA core tenet of Hearst’s approach to transformation was empowerment at every level. Lucy describes removing archaic performance systems and replacing them with coaching-centered one-to-ones, helping managers foster a sense of ownership, capability, and resilience in their teams. The organization invested in professional coaching for anyone, at any level, who requested it, a significant commitment, but one tailored for maximum impact rather than blanket sameness.This was complemented with mentoring, leveraging technology to link senior leaders with mentees across the company. This “bottom-up” ethos even shaped their AI and technology adoption: rather than mandating tools from the top, creative, programming, and scheduling teams were given room to experiment and bring forward the solutions that actually worked for them.The Power of Purpose and the “Deal”Change is unsettling, and ambiguity can erode trust. To anchor their people, the leadership spent months articulating a purpose statement—a north star for decision-making and daily work. More boldly, they introduced “our deal,” a written two-way document explaining not just what the company expected from employees, but what employees could expect in return: support, development, and clear direction.Dean describes this as adult-to-adult relationship building. It’s about empowering personal leadership and ownership, backed by transparent communication—even when delivering hard messages or acknowledging failures. As they say, “we learn fast, not fail fast.” Resources & People MentionedAbout - HEARSTLeave Something on the Table: and Other Surprising Lessons for Success in Business and in Life by Frank Bennack The Problem with Change: And the Essential Nature of Human Performance Kindle Edition by Ashley Goodall Understand the network dynamics of culture'Sapiens' by Yuval Noah HarariConnect with Lucy King and Dean PossenniskieLucy King | Hearst Networks EMEA Dean Possenniskie | Hearst Networks EMEA Connect With Red Thread ResearchWebsite: RedThread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES
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    52 min
  • How McKinsey Is Rewiring L&D for the AI Age: Heather Stefanski
    May 27 2026
    This week on the podcast, we welcome Heather Stefanski, Chief Learning and Development Officer at McKinsey & Company. We explore how organizations like McKinsey are reimagining employee development for the age of AI, shifting learning into the flow of work, focusing on systems and purposeful apprenticeships, and embedding L&D directly into workflow design. You'll also hear all about the evolving skill sets for L&D teams and the importance of updating how we measure development. You will want to hear this episode if you are interested in...00:00 Integrating development into AI assistants04:49 Heather's role at McKinsey08:32 Developing skills in the workplace16:08 Designing developmental workflows with AI24:56 Understanding skill proficiency levels26:25 Building agentic development solutions30:53 Assessing AI proficiency levels33:18 Future skills focus at McKinsey42:55 AI in performance evaluations53:13 Using AI for feedback and reviewRethinking Language: Why Development Surpasses TrainingOne of the first shifts Heather Stefanski identifies is a deliberate move away from talking about “training” or even just “learning.” Instead, McKinsey centers its L&D strategy on development, a more holistic approach that encompasses formal programs, feedback mechanisms, leadership modeling, and real-time experiences in the flow of work.For McKinsey, development is inseparable from business outcomes, and employee development is critical to the firm’s value proposition. This means McKinsey designs work intentionally to be developmental, combining upskilling, leadership building, and project experiences into a seamless ecosystem.Purposeful ApprenticeshipHeather discusses embedding rituals, such as performance check-ins and feedback sessions, directly into core workflows to build a system grounded in purposeful practices. By standardizing these rituals, McKinsey can even quantify the impact of great teachers on advancement, and L&D becomes part of organizational culture rather than a siloed function.The New Learning Tech StackOne of the most exciting transformations is McKinsey’s ongoing work to blend learning seamlessly into technology-enabled workflows. Rather than relying solely on traditional LMS platforms, McKinsey is embedding learning designers into business teams that are building agentic workflows—AI-powered systems that guide, prompt, and provide real-time feedback as employees work.AI agents are being designed to do more than just increase productivity. Heather emphasizes that agents should also foster professional development by challenging users, prompting reflective questions, and offering immediate coaching. This shift pushes L&D professionals to evolve their skills, requiring fluency not just in instructional design but in data analysis and collaborative workflow engineering.What Skills Do Employees Still Need?As AI tools automate routine tasks, think aligning PowerPoint columns or data cleanup, McKinsey is strategically deciding what to stop teaching, redirecting focus to what keeps the firm distinctive: problem solving, judgment, metacognition, systems thinking, and authentic leadership. Purposeful abandonment of now-obsolete skills is as vital as doubling down on those that matter, ensuring development keeps pace with the shifting demands of knowledge work. Resources & People MentionedLisa Christensen on LinkedIn mckinsey.comCursorCLO Lift Group Connect with Heather StefanskiHeather Stefanski at McKinsey & Company Heather Stefanski on LinkedIn Connect With RedThread ResearchWebsite: RedThread ResearchOn LinkedInSubscribe to WORKPLACE STORIES
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    58 min
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