Designing an On-Demand Learning Experience
How I built a modern online course from salvaged footage, as the foundation of a larger learning ecosystem.
At a Glance
• I built a complete, modern online resilience and well-being course out of orphaned footage — as a low-cost, low-risk proof-of-concept for online learning.
• Designed as a piece of a larger learning ecosystem. The on-demand course is built, the virtual live course is in development, and a companion packet is built.
• The point was never just a course; it was a proof-of-concept. The point was never just a course. It was evidence: a finished, well-designed example does what an argument can’t.
• I didn't go in blindly. I researched how people actually learn on demand and let that research drive the design—shorter lessons, a Blueprint that builds as you go, a gated learning sequence. I started with the outcome: the key takeaway learners will walk away and can immediately implement.
• AI accelerated the heavy lifting — research, transcript triage, sequencing, audio, generated media — while every decision about what the learner experiences stayed mine. The outline, build, and supporting documents went through multiple iterations as I worked through content.
• I secured partner-content rights before I ever presented it, and held the finished course at a master-instructor review gate before anything ships.
Project Showcase:
For years I believed that online learning was a pathway my organization was missing. So I built the proof.
The result is a complete, modern online resilience and well-being course — four modules, twelve core lessons, guided meditations, a build-as-you-go Blueprint, gated assessments, and a full multimedia production layer. And I built almost none of it from a clean start.
The salvage
The footage already existed, orphaned from an earlier client project that had stalled and then shut down — every instructor filmed, hours of raw video, and no actual course anywhere inside it. What I did wasn't create from a blank page. It was look at what already existed, see the course hiding in it, and rebuild.
I didn't go in blindly
Before I designed a single module, I researched how people actually absorb content on demand — when it isn't required — and let what I found drive the structure. The organizing logic was to work backward: I started from what a person should be able to do when they finished, not what I wanted to cover, and built toward it. That answer became the Blueprint; everything else served getting them there. Shorter lessons, because that's what holds an on-demand learner. Reflection present in every lesson but never forced, because the depth is theirs to determine. A Blueprint that builds pieces per module instead of landing as one overwhelming task at the end. And a learning sequence gated so you finish a module before you move on — structure where it protects the learning, autonomy everywhere it doesn't.
AI carried the weight. I made the calls.
AI accelerated the production work; I owned the instructional decisions.: cutting through hours of transcripts to surface what was worth keeping, proposing a first sequence, enhancing the audio to a professional finish I'm not sure I could have reached by hand. But I grounded it in the real footage from the start. I chose the pieces worth building around and fed those in — so its job was to organize what existed, not invent what didn't. I also refined scripts in Claude and ChatGPT and voiced them in ElevenLabs, and I checked every research claim for source and credibility before it went in. As I built, I combined thin sections, filled the gaps, and cut what didn’t serve the outcome.
And every decision about what the learner actually experiences stayed mine. When AI proposed an order, I pushed back — why here, why not there — and the modules moved. When a transcript pass dropped a moment that mattered, I put it back, then fed the finished transcript back in so the objectives described what the lesson had actually become.
Design that serves the learner, not the screen
I rebuilt the visual system around cohesion: one primary background per speaker inside a single color scheme, differences so subtle you'd never consciously notice them, instead of the fragmented look I'd inherited. I turned the longer videos into a podcast-style format so a learner who didn't want to watch could simply listen: while cooking dinner, folding laundry, driving to work. And I built graphics only where they taught something, never for decoration. Captions on every video, chaptering on the long ones, ADA-minded type throughout.
The part people skip
Before I ever presented this to my team, I secured the rights to the partner content the curriculum depends on and opened the conversation about compensation, because without it, a whole section of the course falls away. It's easy to skip and expensive to skip, and I handled it up front.
The course is built and complete, and it's now in review — a senior instructor has gone through it and come back with feedback and revisions to make before launch. That's the evaluation stage working as it should, and I won't put something into the world carrying the organization's name on my eyes alone.
The takeaway
The point was never the course. It was the case. I built something people can see and touch. And the deeper failure was never picking the wrong direction. I couldn't prove online learning would work by arguing about it. I could only build it, put it in front of people, and find out for real.
I let them experience it for themselves. And now we can move it forward since I have successfully established it as one of our top priorities.
Where this fits
This course is one piece of a larger learning ecosystem I designed. Live training reaches people once, depends on an instructor being in the room, and learning often tapers off after class ends. So I designed a pathway with several ways in: awareness, an on-demand foundation, live application, and reinforcement afterward. The on-demand course is the foundation, and it’s built and in review. A virtual live course is in development, and a companion digital download packet is built.
Skills: instructional design · learner experience design · self-directed research · multimedia production · AI-assisted development · visual communication · accessibility · IP & rights foresight · strategic initiative · end-to-end project ownership.
