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prioritize-assumptions

Prioritize product assumptions using an impact-versus-risk matrix and suggest validation experiments.

Updated Aug 10, 2026

Search Tags:#experiment design #hypothesis testing #product discovery #risk matrix #rice framework #ice scoring #assumption prioritization

One-click install

npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill prioritize-assumptions-choi-keith

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: prioritize-assumptions
Source: https://github.com/Choi-Keith/skill-arsenal-ultra/tree/main/plugins/pm-skills/pm-product-discovery/skills/prioritize-assumptions
Command: npx skills add https://github.com/Choi-Keith/skill-arsenal-ultra --skill prioritize-assumptions-choi-keith

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product teams often face a long list of untested assumptions and no clear way to decide which ones to validate first, leading to wasted effort on low-value or low-risk ideas. ## Core Features & Use Cases - Impact × Risk Triage: Classifies each assumption into a four-quadrant matrix (high/low impact vs. high/low risk) to decide whether to build, test, defer, or kill it. - ICE/RICE Scoring Support: Applies ICE (Impact × Confidence × Ease) and RICE scoring, including Dan Olsen's opportunity score formula, for quantitative ranking. - Experiment Design: For high-impact, high-risk assumptions, suggests experiments that measure real behavior with clear success metrics and minimal investment. - Use Case: After a discovery workshop produces 15 assumptions about a new onboarding flow, use this Skill to rank them, identify the three riskiest high-impact ones, and get a concrete experiment proposal for each. ## Quick Start Ask the AI to prioritize the assumptions in your discovery notes using the impact-versus-risk matrix and suggest an experiment for each high-risk item.

Frequently Asked Questions about prioritize-assumptions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What makes a good assumption validation experiment?▼

A good experiment maximizes validated learning per unit of effort, measures real user behavior rather than stated opinions, and defines a clear success metric with a threshold before running. Landing page tests and concierge prototypes are common formats.