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brainstorm-experiments-existing — Claude Code skill: design low-cost

This skill helps plan experiments to validate assumptions about an existing product before committing to full builds. Use it to test hypotheses with prototypes, A/B tests, spikes, and other lean methods.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add phuryn/pm-skills --skill brainstorm-experiments-existing -a claude-code
Open on GitHub

What brainstorm-experiments-existing does

The skill walks through a step-by-step process for designing low-effort experiments. You describe your feature idea and list assumptions that need validation. The agent clarifies what to test, suggests methods (first-click tests, fake doors, technical spikes, A/B tests, Wizard of Oz, behavioral surveys), and for each experiment specifies the assumption, exact steps, metric, and success threshold.

The skill focuses on measuring actual user behavior, not opinions. For production tests like A/B tests, it explains risk mitigation strategies. Results are presented as a table or structured list and can be saved to markdown.

What it helps with

  • pick a validation method for a product assumption
  • design an A/B test with risk mitigation for existing features
  • plan a prototype experiment before full development
  • set metrics and success thresholds for a fake door or spike
  • organize hypotheses and test methods into a single plan

Example prompts for the agent

  • We want to test whether users will click a new menu button. Design a test for it.
  • The team isn't sure if a sync feature is worth building. Help plan cheap validation.
  • Here's a document of assumptions about this feature. For each one, suggest an experiment and metrics.

How to install brainstorm-experiments-existing

1Skills CLI (Vercel)

npx skills add phuryn/pm-skills --skill brainstorm-experiments-existing -a claude-code

2Manually: put the files in place

~/.claude/skills/brainstorm-experiments-existing/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/brainstorm-experiments-existing/

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Questions about brainstorm-experiments-existing

How do I install brainstorm-experiments-existing in Claude Code?

Run npx skills add phuryn/pm-skills --skill brainstorm-experiments-existing -a claude-code. The skill file will be saved to ~/.claude/skills/brainstorm-experiments-existing/SKILL.md.

What does brainstorm-experiments-existing do?

It helps design experiments to test product assumptions. The agent suggests methods (A/B tests, prototypes, fake doors, technical spikes), clarifies metrics, and sets success thresholds for each test.

Which platforms support this skill?

The skill works with Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, and OpenCode. Each platform has its own install command.

Source text

SKILL.md · MIT
---
name: brainstorm-experiments-existing
description: "Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments."
---

## Design Experiments (Existing Product)

Design low-effort experiments to test product assumptions before committing to full implementation.

### Context

You are helping a product team design experiments for **$ARGUMENTS**. The team has a feature idea and assumptions that need validation.

If the user provides files (PRDs, assumption lists, designs), read them first.

### Instructions

The user will describe their idea and assumptions. Work through these steps:

1. **Clarify the idea and assumptions**: Confirm what the team wants to build and what they need to validate.

2. **Suggest experiments** for each assumption. Consider methods like:
   - First-click testing or task completion with a prototype
   - Feature stubs or fake door tests
   - Technical spikes
   - A/B tests on production (with risk mitigation)
   - Wizard of Oz approaches
   - Survey-based validation (behavioral, not opinion-based)

3. **Key principles to follow**:
   - Measure actual behavior, not users' opinions
   - Test responsibly — don't put users or the business at risk
   - For production tests (e.g., A/B tests), explain risk mitigation strategies
   - Aim for maximum validated learning with minimal effort

4. **For each experiment**, specify:
   - **Assumption**: What do we believe?
   - **Experiment**: What exactly will we do to validate it?
   - **Metric**: What will be measured?
   - **Success threshold**: The expected value if we are right

Think step by step. Present experiments in a clear table or structured format. Save as markdown if substantial.

---

### Further Reading

- [Testing Product Ideas: The Ultimate Validation Experiments Library](https://www.productcompass.pm/p/the-ultimate-experiments-library)
- [Assumption Prioritization Canvas: How to Identify And Test The Right Assumptions](https://www.productcompass.pm/p/assumption-prioritization-canvas)
- [What Is Product Discovery? The Ultimate Guide Step-by-Step](https://www.productcompass.pm/p/what-exactly-is-product-discovery)
- [Continuous Product Discovery Masterclass (CPDM)](https://www.productcompass.pm/p/cpdm) (video course)

© phuryn · MIT · phuryn/pm-skills

See also

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