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Medical Design Program
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Syllabus

Daily Structure

Every day follows the same rhythm:

Exercise
Group Session
Build Task
Lunch
Build Time
Debrief
Daily schedule for Health Design Sprint sessions
TimeBlockWhat Happens
8:30 AM Morning Exercise Exercise posted in Slack (often the night before). ~20 min warmup.
By 9:30 AM Exercise Due Complete and post per exercise instructions
10:00–10:45 AM Group Session All-group session on Zoom
10:45–11:00 AM Break Break
11:00 AM–12:00 PM Build Task Frame the day's build task and plan of attack
12:00–1:00 PM Lunch Break
1:00–3:00 PM Build Time Teams or individual building
3:00 PM Deliverable Post assignment, push to GitHub
3:30–4:30 PM Group Debrief Discuss work session, learning, look ahead to tomorrow

Week 1 — Team Challenge-Area Apps

Teams build apps addressing pre-clinical or clerkship education challenges. Each day adds a PRD layer.

Day 1 — The Three Tools

Orientation, domain expertise, design thinking, generative AI, first build.

Day 2 — Who Is This For?

User-centered design toolkit: personas, jobs-to-be-done, journey mapping.

Day 3 — What Would They Really Want?

Deep feature specification. Guest speaker on product thinking.

Day 4 — Personality & Polish

Design as communication. Visual identity, tone, and personality.

Day 5 — Show Your Work

Polish sprint, cross-team testing, team app demo day.

Week 2 — Solo Specialty Apps

Individual apps aligned to specialty interests. The Chat → Agent paradigm shift is introduced.

Day 6 — From Chat to Agent

Specialty app brainstorming, Chat → Agent paradigm shift.

Day 7 — Jigs & Reliability

Making AI workflows reliable, not just demo-ready.

Day 8 — Deep Build

Design + features compressed into a single day. Biggest qualitative jump.

Day 9 — Polish & Test

Refinement, user testing, peer feedback, presentation prep.

Day 10 — Demo Day & Debrief

Final solo app presentations. Course debrief and reflection.

Note

Specific schedules, guest speakers, and exercises vary by sprint cohort. See sprint archives for detailed day-by-day content from past cohorts.