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The intro is the why. This is the doing: rather than fill out a form, you let Ana look at your actual data, ask the right scoping questions, and write the North Star down. That single artifact (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 checklistNo 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”