Engineering Learning Experiences is a show about the loop behind every learning experience: design it, build it, watch what learners actually do, use that data to improve it, and go again. Hosted by Zach, a designer and developer moving into learning engineering, each episode works through a real problem from somewhere in that cycle, from deciding what learner activity to record to using AI in the build without losing control of the result. It’s learning science put into practice, and kept in practice, one iteration at a time.
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Contact path
Public web form
Booking probability
36%
Guest openness
Selective
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Signup to Generate a PitchEngineering Learning Experiences is a show about the loop behind every learning experience: design it, build it, watch what learners actually do, use that data to improve it, and go again.
Recent episodes include "Discerning Decisions When Designing and Building with AI" (21 October 2026, 14 minutes), "Branching trap: Stopped building screens and started building a simulation" (15 October 2026, 27 minutes), and "Record learner activity, not what happened" (13 October 2026, 15 minutes).
Booking probability for Engineering Learning Experiences is 36%, and the host is rated Selective on guests. Engineering Learning Experiences requires a Pod Score of 80 or higher. Engineering Learning Experiences's contact route on record: public web form.
The strongest fits for Engineering Learning Experiences are Courses, Coaching & Lessons and IT Services & Software Development.
Engineering Learning Experiences is a general podcast.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #4
<p>Everybody’s pitching AI like it’s magic. Describe the thing, let it generate, ship it. That gets you part of the way there. It’s a piece of the process, not the whole thing. Underneath all the new terms, I keep...
Episode #3
<p>Everyone who has built a branching scenario has hit the wall where one more path breaks multiple others. I tell the story of changing the mental mode I had. It meant going from thinking about writing paths and moving...
Episode #2
<p>A lot of ID textbook says decide what evidence you need before you build. I didn't, and it worked anyway. Why building fast let the events come out of the patterns, the edge cases that forced the real decision, and...
Episode #1
<p>I built a scenario-based course, got it to the finish line, and realized it was a fancy quiz. I tried to fix that with measurement and learned that data can't add nuance that isn't in the experience. This episode is...
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