Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each. Use when triaging a list of assumptions, deciding what to test first, or applying the assumption prioritization canvas.
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name: prioritize-assumptions
description: "Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each. Use when triaging a list of assumptions, deciding what to test first, or applying the assumption prioritization canvas."
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## Prioritize Assumptions
Triage assumptions using an Impact × Risk matrix and suggest targeted experiments.
### Context
You are helping prioritize assumptions for **$ARGUMENTS**.
If the user provides files with assumptions or research data, read them first.
### Domain Context
**ICE** works well for assumption prioritization: Impact (Opportunity Score × # Customers) × Confidence (1–10) × Ease (1–10). Opportunity Score = Importance × (1 − Satisfaction), normalized to 0–1 (Dan Olsen). **RICE** splits Impact into Reach × Impact separately: (R × I × C) / E. See the `prioritization-frameworks` skill for full formulas and templates.
### Instructions
The user will provide a list of assumptions to prioritize. Apply the following framework:
1. **For each assumption**, evaluate two dimensions:
- **Impact**: The value created by validating this assumption AND the number of customers affected (in ICE: Impact = Opportunity Score × # Customers)… load the full skill through Skill Me