decision-matrixlisted

# Decision Matrix ## Overview A decision matrix scores each option on each criterion, making subjective factors visible and comparable. It includes weighted criteria, sensitivity analysis, and clear recommendations. **Quick example:** | Option | Cost (30%) | Speed (25%) | Quality (45%) | Weighted Score | |--------|-----------|------------|---------------|----------------| | Option A | 8 (2.4) | 6 (1.5) | 9 (4.05) | **7.95** ← Winner | | Option B | 6 (1.8) | 9 (2.25) | 7 (3.15) | 7.20 | | Option C | 9 (2.7) | 4 (1.0) | 6 (2.7) | 6.40 | Option A wins despite not being fastest or cheapest because quality matters most (45% weight). ## Workflow Copy this checklist and track your progress: ``` Decision Matrix Progress: - [ ] Step 1: Frame the decision and list alternatives - [ ] Step 2: Identify and weight criteria - [ ] Step 3: Score each alternative on each criterion - [ ] Step 4: Calculate weighted scores and analyze results - [ ] Step 5: Validate quality and deliver recommendation ``` **Step 1: Frame the decision and list alternatives** Ask user for decision context (what are we choosing and why), list of alternatives (specific named options, not generic categories), constraints or dealbreakers (must-have requirements), and stakeholders (who needs to agree). Understanding must-haves helps filter options before scoring. See [Framing Questions](#framing-questions) for clarification prompts. **Step 2: Identify and weight criteria** Collaborate with user to identify cri