Context:
[Paste scenario description here. What population, setting, timeframe, geography? What decision is needed?]

Attached Files (optional):
[List the filenames you uploaded so the model can reference them, e.g., population.xlsx, outcomes.csv, costing.pdf]

Data Inputs (if known; otherwise leave blank and the model will ask):
- Population / cohort size:
- Risk indicators (specify priority if multiple exist):
- Capacity assumptions (teams, clients/day, working days):
- Cost assumptions (startup per client, ongoing per client, benchmark if any):
- Clinical outcomes (numeric deltas if available: A1c, BP, Chol, BMI):
- Constraints or preferences (e.g., prefer obesity+metabolic syndrome over self-reported DM; analytics-driven recommendations only):

Evaluation Questions:
1) Prioritization targets?
2) Capacity over the specified window?
3) Cost to serve N people?
4) Clinical benefits (numeric where possible)?
5) Top 3 analytics/longitudinal optimization recommendations?

== Phase 1 request ==
Generate up to 5 grouped clarification questions. Then WAIT.