epic-hypothesis

Formulate epics as testable if/then hypotheses with experiment plans.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/MaxKlat29/claude-setup --skill epic-hypothesis-maxklat29
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: epic-hypothesis
Source: https://github.com/MaxKlat29/claude-setup/tree/main/skills/product-manager-skills/skills/epic-hypothesis
Command: npx skills add https://github.com/MaxKlat29/claude-setup --skill epic-hypothesis-maxklat29

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps product teams clarify and formalize their epic ideas into testable hypotheses, reducing ambiguity and increasing focus on outcome-driven validation.

Core Features & Use Cases

  • Hypothesis Formulation: Guides users to craft specific and measurable if/then statements for major epics.
  • Experiment Design: Assists in planning small, rapid experiments to validate assumptions before full development.
  • Validation Definition: Helps specify clear, falsifiable success criteria, ensuring meaningful validation metrics.
  • Use Case: A product manager wants to test whether a new onboarding flow increases user activation; this Skill structures the hypothesis and suggests experiments to validate it.

Quick Start

Describe your product hypothesis, target persona, and desired outcomes to get a structured validation plan.

Frequently Asked Questions about epic-hypothesis

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

FAQPage Schema
How do I structure epics as testable product hypotheses?

To structure epics as testable product hypotheses, you formulate specific if/then statements aligned with user outcomes. This process clarifies ambiguous epic ideas into measurable assumptions, enabling focused outcome-driven validation before committing to full development.

How do I design lightweight experiments to validate product assumptions?

Designing lightweight experiments to validate product assumptions involves planning small, rapid tests based on your structured hypothesis. This approach specifies clear, falsifiable success criteria, ensuring you gather meaningful validation metrics without wasting effort on untested epics.

What is hypothesis-driven development and when do I need it for product management?

Hypothesis-driven development is a product management process that formalizes epic ideas into specific, testable assumptions. You need it when clarifying ambiguous features, ensuring development aligns with measurable user outcomes, and reducing wasted effort through structured validation cycles.

Can I use lean UX principles to define success criteria for feature validation?

Yes, you can apply lean UX principles to define success criteria for feature validation. This involves specifying clear, falsifiable metrics tied to user outcomes, ensuring your hypothesis testing yields meaningful data for product development decision-making.

What is the best way to reduce wasted effort on new product development epics?

The best way to reduce wasted effort on product development epics is to frame them as testable hypotheses with measurable success criteria. Running lightweight experiments before full development improves decision-making and validates assumptions rapidly.

Why does my product team struggle with ambiguous epic ideas and how can hypothesis framing help?

Product teams struggle with ambiguous epic ideas due to a lack of clear, measurable outcomes. Hypothesis framing helps by guiding teams to craft specific if/then statements, transforming vague concepts into structured validation plans with falsifiable success criteria.