Brainstorm Experiments Existing

by phuryn8607e3b07781No license26K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 weeks ago

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.

AI-generated overview

Designs low-effort product experiments to validate assumptions for an existing product, such as prototypes, A/B tests and spikes.

What it does
Guides a product team through clarifying a feature idea and its assumptions, then proposes validation experiments for each assumption. For every experiment it specifies the assumption, the experiment, the metric and a success threshold, presented in a table or structured format. It may save the result as a markdown file when substantial.
When to use it
Use when validating product assumptions, testing feature ideas cheaply, or planning experiments before committing to full implementation. Suited to teams that have a feature idea and assumptions needing evidence.
Requirements
No scripts or special tooling; instructions only. It can read user-provided files such as PRDs, assumption lists or designs if supplied.

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

Source and attribution

Source:phuryn/pm-skillsinpm-product-discovery/skills/brainstorm-experiments-existingat commit8607e3b

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal