epic-hypothesis

Frame epics as If/Then hypotheses with validation measures and discovery experiments.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/GP-SoftwareDivision/genova_ai --skill epic-hypothesis-gp-softwaredivision
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: epic-hypothesis
Source: https://github.com/GP-SoftwareDivision/genova_ai/tree/main/.agents/skills/epic-hypothesis
Command: npx skills add https://github.com/GP-SoftwareDivision/genova_ai --skill epic-hypothesis-gp-softwaredivision

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Frame epics as testable hypotheses to de-risk roadmap decisions and manage uncertainty before heavy investment.

Core Features & Use Cases

  • If/Then Hypothesis: Structure that clarifies action, audience, and outcome.
  • Tiny Acts of Discovery Experiments: Lightweight tests to validate assumptions.
  • Validation Measures: Clear, time-bound success criteria to decide whether to pivot or commit.
  • Templates & References: Reusable templates and example library to standardize practice.

Quick Start

Draft an epic hypothesis using the provided template and start with a tiny discovery experiment to validate it within a few weeks.

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 to de-risk roadmap decisions?▼

To frame epics as testable hypotheses, use an If/Then structure to clarify action, audience, and outcome, then run lightweight discovery experiments to validate assumptions before committing heavy roadmap investment.

What is the If/Then hypothesis structure used for product backlog prioritization?▼

The If/Then hypothesis structure is a framework that clarifies the action, target audience, and expected outcome of an epic, allowing you to validate assumptions during early product discovery and backlog prioritization.

How do I run tiny discovery experiments for product validation?▼

You can run tiny discovery experiments by applying lightweight tests during early discovery to validate epic assumptions, using defined validation measures to decide whether to pivot or commit within a few weeks.

When should I use hypothesis-driven product management instead of committing to a roadmap?▼

Use hypothesis-driven product management during early discovery, roadmap planning, and backlog prioritization to manage uncertainty and de-risk decisions before making heavy development investments.

What validation measures do I need to decide whether to pivot or commit to an epic?▼

You need clear, time-bound success criteria that define validation measures, enabling you to evaluate lightweight discovery experiment results and confidently decide whether to pivot or commit to an epic.

Can I use epic hypothesis templates for early product discovery without prior experience?▼

Yes, you can use epic hypothesis templates during early product discovery because they provide a reusable structure and example library that standardizes the practice of drafting If/Then hypotheses and validation criteria.