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The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond.
Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet.
At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.
Episodes

6 days ago
6 days ago
Summary:
In this conversation, Jason Gorman and Heather Xu dig into the human side of AI transformation and the growing pace gap between technology, people, and organizations. Heather is the founder of Design for Flow and a former director at KPMG. They explore why learning teams must shift from being course creators to business-aligned capability builders, how to design workflows that preserve human thinking rather than surrendering it to AI, and why human connection is increasing in value, not decreasing. Heather introduces two practical frameworks: one for mapping AI relationships across a workflow (coach, thought partner, accelerator, automator) and another for personal AI value (amplify, unblock, stretch, free). The conversation closes with a discussion on human agency as the foundational skill for navigating an uncertain future.
Takeaways:
- Technology, people, and organizations are moving at three different speeds.
- Your strengths are what make you feel strong, not just what you're good at.
- L&D teams must start with business strategy, not their own curriculum.
- If a learning program isn't adding value, it's actively reducing it.
- Design for human plus human plus AI, not just human plus AI.
- The real value of AI comes from strategic questions, not automated outputs.
- AI left on its own misses things that human judgment catches.
- Agency looks different for everyone: builders, explorers, sense makers, collaborators, creators.
- Organizations must account for cognitive burden as work intensifies.
- Human connection is becoming more valuable, not less, because of AI.

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