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/prioritize-assumptions

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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Install
$ npx -y skills add phuryn/pm-skills --skill prioritize-assumptions --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/prioritize-assumptions

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

prioritize-assumptions.SKILL.md
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."

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)
  • **Risk**: Defined as (1 - Confidence) × Effort

2. **Categorize each assumption** using the Impact × Risk matrix:

  • **Low Impact, Low Risk** → Defer testing until higher-priority assumptions are addressed
  • **High Impact, Low Risk** → Proceed to implementation (low risk, high reward)
  • **Low Impact, High Risk** → Reject the idea (not worth the investment)
  • **High Impact, High Risk** → Design an experiment to test it

3. **For each assumption requiring testing**, suggest an experiment that:

  • Maximizes validated learning with minimal effort
  • Measures actual behavior, not opinions
  • Has a clear success metric and threshold

4. **Present results** as a prioritized matrix or table.

Think step by step. Save as markdown if the output is substantial.

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Further Reading

  • [Assumption Prioritization Canvas: How to Identify And Test The Right Assumptions](https://www.productcompass.pm/p/assumption-prioritization-canvas)
  • [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)
Read more
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