epic-hypothesis

Frame epics as If/Then hypotheses with validation measures.

1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/tabooes/pm_skills --skill epic-hypothesis-tabooes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: epic-hypothesis
Source: https://github.com/tabooes/pm_skills/tree/main/skills/epic-hypothesis
Command: npx skills add https://github.com/tabooes/pm_skills --skill epic-hypothesis-tabooes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Frame epics as testable hypotheses to reduce risk and guide teams toward measurable outcomes.

Core Features & Use Cases

  • If/Then hypothesis structure
  • Tiny acts of discovery experiments
  • Validation measures
  • Use in early-stage discovery and backlog prioritization

Quick Start

Draft your epic using the Epic Hypothesis Template to define a specific If/Then hypothesis, lightweight experiments, and clear validation measures.

Frequently Asked Questions about epic-hypothesis

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

FAQPage Schema
How do I frame epics as testable hypotheses for backlog prioritization?

Frame epics as testable hypotheses by defining an If/Then structure, planning lightweight discovery experiments, and setting explicit validation measures to reduce risk and guide measurable outcomes.

What is an If/Then hypothesis structure in early-stage product discovery?

An If/Then hypothesis structure in product discovery is a framing technique that converts epics into testable bets by linking a specific action to a measurable outcome through lightweight experiments.

How do I run lightweight experiments to validate epic uncertainty?

Validate epic uncertainty by running tiny acts of discovery experiments designed around explicit validation measures, allowing teams to test assumptions before committing to full development.

When should I use hypothesis-driven development for roadmap planning?

Use hypothesis-driven development for roadmap planning during early-stage strategy and discovery where uncertainty is high, ensuring teams align around measurable outcomes rather than rigid features.

Does hypothesis-driven discovery work for early-stage strategy where uncertainty is high?

Hypothesis-driven discovery works for early-stage strategy by replacing heavy upfront planning with lightweight experiments, directly addressing high uncertainty through explicit validation measures.

What is the best way to reduce risk when planning product epics?

The best way to reduce risk when planning product epics is to transform them into testable hypotheses with clear validation measures, enabling teams to learn through lightweight experiments before full implementation.