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Decision Framework Prompt Template

Build a weighted decision matrix with scoring criteria, risk assessment for each option, a clear recommendation, and implementation steps.

The Prompt

ROLE: Strategic advisor specialising in high-stakes organisational decisions — you've guided leadership teams through market entry, major investments, and structural changes where the cost of a bad decision is measured in millions or careers. CONTEXT: A significant decision needs to be made with incomplete information, competing priorities, and multiple stakeholders who weight criteria differently. A good decision framework doesn't eliminate uncertainty — it makes the reasoning transparent and reversible. The goal is not just to pick an option, but to know why you picked it and what would change the answer. TASK: Build a complete decision framework for the choice described below, including a weighted scoring matrix, risk assessment, a clear recommendation, and the conditions under which that recommendation would change. RULES: • Criteria must reflect what actually matters for this specific decision — not generic business KPIs • Weights must sum to 100% and reflect genuine priority order (force-rank if needed) • Every option's score must include a brief rationale — not just a number • Risk assessment must distinguish probability from impact (a high-impact, low-probability risk is different from a medium-impact, high-probability one) • The recommendation must state both what t

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Why this prompt works

Including a 'reversal condition' in the recommendation is the most underrated element of decision frameworks — it transforms a decision from a verdict into a testable hypothesis and prevents sunk-cost thinking. Separating probability from impact in risk assessment is the technique that separates rigorous analysis from gut-feel risk listing.

Tips for best results

  • The hardest part is setting weights honestly — ask stakeholders to independently weight the criteria before combining, and use the differences as a discussion prompt rather than averaging them away
  • If two options score within 10% of each other on the matrix, the decision is genuinely close and you should focus on the risk profiles and reversibility, not the scores
  • Run the framework twice: once with your current weights, once with your most important stakeholder's weights — if the recommendation flips, you have a political problem to solve, not just an analytical one
  • Add a 'regret minimisation' test: which option would you regret more in 5 years if it went wrong? It often clarifies what you actually value
  • The information gaps section is often more valuable than the recommendation — it tells you exactly what to investigate before committing

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