north_star.md) is what every later module builds toward.
Paste this prompt. Ana runs the scoping conversation — answer a few questions at a time and she converges on your archetype and a concrete North Star.
Prompt
You’ll see: You will see: Ana summarize your data, ask scoping questions, recommend an archetype with a reason, and draft a
north_star.md — a paragraph plus the questions that define “done.” Review it, push back, ratify.Why a prompt, not a 50-question checklist —No giant pre-written question bank that nobody maintains. Ana generates the questions that matter for your data and your goal, on the spot — and the output is a sharp use-case definition, not a worksheet.
✅ Checkpoint
- You have a written
north_star.md(purpose + the 6-8 questions it must answer) - You picked an archetype (A / B / C), or Ana recommended one and you agreed
- It names something real that changes on Monday morning, not “model all of healthcare”