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prioritize-assumptions Checked

Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each. Use when t…
🛠️ Developer Tools skills By phuryn Version v1.0.0 Added 2026-09-03 Updated 2026-09-03 Source ↗
7.6Overall rating
2Views
6Downloads
26.0kStars

Installation

🤖 Install via AI

Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.

Install the "prioritize-assumptions" skill by following the instructions at https://skill123.me/install/prioritize-assumptions.
⌨️ Command line install

Run in your terminal — downloads and installs to ~/.claude/skills/.

curl -fsSL https://skill123.me/install/prioritize-assumptions.sh | bash
📦 Download ZIP

Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.

⬇ Download v1.0.0 · 1 KB
📊 Static rating
7.6/10
Trigger
7.0
Structure
7.3
Workflow
6.8
Content
7.0
Engineering
8.0
Security
9.5

Six-dimension rubric with reviewer rationale.

View scorecard ↓
🛡 Dynamic test
—

Not live-tested yet — this skill is rated on static analysis only.

About 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.

Documentation

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

Score breakdown

Trigger
7.0
Clear What/When with triage and canvas keywords; no When-Not boundary or phrasing variants.
Structure
7.3
Single compact file with clean sections; formulas inline rather than offloaded, dangling cross-skill reference.
Workflow
6.8
Concrete quantified framework with 2x2 matrix decisions and experiment criteria; no error handling or verification loop.
Content
7.0
Concise imperative steps with explicit formulas agents can apply directly.
Engineering
8.0
Frontmatter valid, no scripts, but the referenced prioritization-frameworks skill is not shipped.
Security
9.5
No scripts or injection; links to reputable productcompass.pm only.
Clear Impact x Risk matrix workflow with ICE formulas and per-assumption experiment suggestions, but references an unshipped skill and lacks verification.