Pivot: High-Stakes Decision Support System
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Pivot: High-Stakes Decision Support System A structured decision support system prompt with six analytical frames, clarifying questions, and a devil's advocate brief for major life and business choices.
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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.
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