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From pm-product-discovery
Prioritizes assumptions via Impact × Risk matrix, categorizes for action (test/implement/defer/reject), and suggests experiments with success metrics. For triaging or prioritization canvas.
npx claudepluginhub phuryn/pm-skills --plugin pm-product-discoveryHow this skill is triggered — by the user, by Claude, or both
Slash command
/pm-product-discovery:prioritize-assumptionsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Triage assumptions using an Impact × Risk matrix and suggest targeted experiments.
Prioritizes assumptions using Impact × Risk matrix, classifies into quadrants (low/high impact/risk), and suggests validation experiments with success metrics. Use for sorting assumption lists or deciding test order in product discovery.
Use this skill when the user asks to "map assumptions", "identify assumptions", "what are we assuming", "assumption audit", "what could go wrong with this idea", "test our assumptions", "what do we need to validate", "identify our riskiest assumption", or when reviewing an idea or PRD and wants to surface hidden bets before building. Do NOT use this skill for general risk analysis — that is part of the pre-mortem skill.
Extracts and risk-rates hidden assumptions from product briefs or PRDs across desirability, feasibility, viability, and usability categories. Produces a prioritized assumption map with confidence/impact scores and validation recommendations.
Share bugs, ideas, or general feedback.
Triage assumptions using an Impact × Risk matrix and suggest targeted experiments.
You are helping prioritize assumptions for $ARGUMENTS.
If the user provides files with assumptions or research data, read them first.
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.
The user will provide a list of assumptions to prioritize. Apply the following framework:
For each assumption, evaluate two dimensions:
Categorize each assumption using the Impact × Risk matrix:
For each assumption requiring testing, suggest an experiment that:
Present results as a prioritized matrix or table.
Think step by step. Save as markdown if the output is substantial.