brainstorm-experiments-existing
SkillMediaLets your agent design low-effort experiments like prototypes and A/B tests to test assumptions about an existing product.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the brainstorm-experiments-existing skill
About this capability
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.
What this skill tells your AI
The instructions your AI receives, as published by phuryn/pm-skills in pm-product-discovery/skills/brainstorm-experiments-existing/SKILL.md and read by ahel’s review.
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:
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Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
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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)
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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
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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
Signals
- GitHub stars
- 26k
- Forks
- 3k
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
brainstorm-experiments-existing- Source
- github.com/phuryn/pm-skills