Product Hypothesis Design

SkillMedia

Formulate clear, testable hypotheses for product experiments. Use when designing experiments to validate solutions.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Product Hypothesis Design skill

What this skill tells your AI

The instructions your AI receives, as published by itseffi/agentic-os in .agents/skills/hypothesis-design/SKILL.md and read by ahel’s review.

Formulate clear, testable hypotheses for product experiments.

When to Use

When you have a product problem and need to design an experiment to validate a solution.

The Process

1. Identify the Experiment Goal

  • What user problem are you addressing?
  • What change do you think will help?

2. Draft Hypothesis Statement

Use this structure:

[Action] will cause [Outcome] to [Direction] for [Users] under [Conditions]

All 5 components required:

  • Action: What you're doing
  • Outcome: What metric changes
  • Direction: Increase/decrease/improve
  • Users: Who's affected
  • Conditions: When/where this applies

3. Check for Specificity

  • Is the action clearly defined?
  • Is the outcome measurable?
  • Are users and conditions specific?

4. Develop Measurement Plan

  • What metrics prove success?
  • How will you collect data?
  • What's the sample size?

5. Narrative Check

Convert to story format:

Currently, [user] is experiencing [problem].
We believe that by [change], we'll see [outcome].
We'll know we're right when [metric] changes by [amount].

Quality Check

  • Is the hypothesis falsifiable?
  • Can you measure the outcome?
  • Is the timeframe realistic?
  • Are success criteria clear?

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

Signals

GitHub stars
112
Forks
21
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
hypothesis-design
Source
github.com/itseffi/agentic-os