HeyJaredTangents with TorranceLearning
TorranceLearning has a Podcast! Join Megan Torrance and Meg Fairchild as they discuss topics that are on everyone's mind in L&D.
- Indexed episodes, last 90 days
- 8
- Latest publication
- Aug 4, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 3, 2026
Latest episodes
Episode 37: Helping Organizations Navigate Change with Fraser Lockhart (opens the original)
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In this episode, Megan Torrance chats with Fraser Lockhart about his journey from leading sales performance at major organizations like Dawn Foods, Pepsi, Coke, and Campbell Soup to running his own business as a change coach. The conversation centers on navigating change during technology rollouts, why adoption stalls, and how learning, leadership, and change management converge. Key takeaways include: Why the ADKAR model is valuable for change and learning initiatives The similarities and cross
Episode 35: Measuring AI Collaboration: PAICE.work with Sam Rogers (opens the original)
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Organizations are investing in AI tools, tracking usage, and providing training—but are those measures telling us whether people can actually work with AI effectively? In this episode of Tangents with TorranceLearning , Megan Torrance talks with Sam Rogers, founder and CEO of PAICE.work, about measuring People + AI Collaboration Effectiveness . Sam explains why tool adoption, course completion, and self-reported confidence offer only a limited view of AI capability—and how behavioral observation
Episode 34: The AI Implementation Canvas: Human-Centered Adoption & Change (Part 4 of 4) (opens the original)
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In the final episode of our four-part series on the AI Implementation Canvas, Meg Fairchild and Megan Torrance explore Human-Centered Adoption & Change. They discuss how learning professionals can help organizations prepare people for AI-enabled work, support ongoing change, and keep human needs at the center of implementation. From AI literacy and upskilling, to fairness, inclusion, and social well-being, this episode focuses on the people systems affected by every AI decision. Listeners will l
Episode 33: The AI Implementation Canvas: Design & Implementation Enablers (Part 3 of 4) (opens the original)
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In Part 3 of our four-part series on the AI Implementation Canvas, Meg Fairchild and Megan Torrance explore the Design & Implementation Enablers section of the Canvas. They discuss how organizations can move from scattered AI experiments to structured pilots, thoughtfully select which ideas to pursue, and safely scale the projects that show promise. They also explore how learning professionals can bring their existing strengths in measurement, impact, collaboration, and capability building to AI
Episode 32: The AI Implementation Canvas: Technology & Experience Infrastructure (Part 2 of 4) (opens the original)
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In Part 2 of our four-part series on the AI Implementation Canvas, Meg Fairchild and Megan Torrance explore the Technology & Experience Infrastructure section of the Canvas. They discuss why successful AI implementation requires more than selecting the right tools. Organizations also need to consider how technology fits into existing workflows, whether the user experience supports the people doing the work, and what governance practices are needed to keep AI use safe, transparent, and effective.
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