brainstorm-experiments-existing
About brainstorm-experiments-existing
brainstorm-experiments-existing is a product-design skill for testing assumptions about proposed features in existing products. It suggests low-effort experiments and specifies the assumption, method, metric, and success threshold for each.
Key features
- 01Clarifies ideas and assumptions
- 02Suggests low-effort validation experiments
- 03Focuses on observable behavior
- 04Addresses production-test risk mitigation
- 05Defines metrics and success thresholds
Use cases
- 01Test a feature concept before implementation
- 02Choose experiments for product assumptions
- 03Measure user behavior with a prototype
- 04Plan guarded production experiments
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/brainstorm-experiments-existingin Claude Code to confirm it loaded.
Details
From the project READMEDesign 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:
-
Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
-
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)
-
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
-
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.