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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.
Episodes
Oct 1, 2026
Oct 1, 2026
46 min
Summary
In this conversation, Jason Gorman talks with Emily Johnson and Andrew Fassett, two professionals who are newer to the learning design field but bring deep experience from very different backgrounds. Emily saw firsthand how students and teachers lacked the support they needed. Andrew recognized that the lecture-based model of training in faith communities was not producing real change and turned to AI simulation to build Kairos Ready, a platform for practicing high-stakes interpersonal conversations. Together they discuss what drew them into instructional design, what transferable skills they brought with them, and what they wish the training pathway looked like. The conversation also covers how early career professionals can navigate a field being reshaped by AI, the value of apprenticeship and shadowing over isolated internships, and what newer professionals want experienced ones to understand about their perspective.
Takeaways
- Most learning professionals found the field by seeing something broken and deciding to fix it.
- Interpersonal skills like empathy, listening, and presence are not going away with AI.
- Hands-on project experience matters more than theory alone for career readiness.
- Apprenticeship and shadowing are more valuable than being handed isolated tasks.
- AI makes more things possible but does not make them easy.
- Early career professionals need expertise to direct AI well, which creates a real paradox.
- Curiosity and broad reading build the judgment that one semester of theory cannot.
- Starting where you already have knowledge and connections gives you a longer runway.
- Newer professionals want to learn from experienced ones, not be divided from them.
- Human connection remains the foundation of effective learning design at every career stage.
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