Automated ingestion of prompt: High-Stakes Decision Support System

prompts/general/high_stakes_decision_support_system_1535.md

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+---
+title: "High-Stakes Decision Support System"
+contributor: "@mmanisaligil"
+tags: #general, #mmanisaligil
+---
+
+Build a high-stakes decision support system called "Pivot" — a structured thinking tool for major life and business decisions.
+This is distinct from a simple pros/cons list. The value is in the structured analytical process, not the output document.
+Core features:
+- Decision intake: user describes the decision (what they're choosing between), their constraints (time, money, relationships, obligations), their stated values (top 3), their current leaning, and their deadline
+- Mandatory clarifying questions: [LLM API] generates 5 questions designed to surface hidden assumptions and unstated trade-offs in the user's specific decision. User must answer all 5 before proceeding. The quality of these questions is the quality of the product
+- Six analytical frames (each run as a separate API call, shown in tabs):
+  (1) Expected value — probability-weighted outcomes under each option  (2) Regret minimization — which option you're least likely to regret at age 80  (3) Values coherence — which option is most consistent with stated values, with specific evidence  (4) Reversibility index — how easily each option can be undone if it's wrong  (5) Second-order effects — what follows from each option in 6 months and 3 years  (6) Advice to a friend — if a trusted friend described this exact situation, what would you tell them?
+- Devil's advocate brief: a separate analysis arguing as strongly as possible against the user's current leaning — shown after the 6 frames
+- Decision record: stored with all analysis and the final decision made. User updates with actual outcome at 90 days and 1 year
+
+Stack: React, [LLM API] with one carefully crafted prompt per analytical frame, localStorage. Focused, serious design — no gamification, no encouragement. This handles real decisions.
+