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brainstorm-experiments-new

brainstorm-experiments-new

github.com/phurynMarketing & growth27.5k2.9k installsUpdated 2w ago
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About brainstorm-experiments-new

A product-discovery skill for validating new product concepts with lean startup experiments. It turns a concept into an XYZ hypothesis and proposes low-effort tests with metrics and success thresholds.

Key features

  1. 01XYZ hypothesis formulation
  2. 02Pretotype experiment suggestions
  3. 03Behavior-based validation
  4. 04Metrics and success thresholds

Use cases

  1. 01Testing demand for a new product concept
  2. 02Comparing landing page and waitlist tests
  3. 03Defining measurable experiment criteria

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/phuryn/pm-skills --skill brainstorm-experiments-new

After installing, type/brainstorm-experiments-newin Claude Code to confirm it loaded.

Details

From the project README

Design Lean Startup Experiments (New Product)

Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.

Context

You are helping validate a new product concept: $ARGUMENTS using lean startup methodology.

If the user provides files (market research, landing page mockups), read them first.

Instructions

  1. Create an XYZ Hypothesis in the form: "At least X% of Y will do Z"

    • X%: The percentage of the target market expected to engage
    • Y: The specific target market (e.g., "mid-size luxury sedan buyers")
    • Z: How they will engage with the product

  2. Suggest 2-3 pretotype experiments to test the hypothesis with minimal effort. Consider:

    • Landing Page: Test interest by measuring sign-ups or clicks
    • Explainer Video: Test understanding and appeal through engagement metrics
    • Email Campaign: Test demand through response and click-through rates
    • Pre-Order / Waitlist: Test willingness to pay through skin-in-the-game commitment
    • Concierge / Manual MVP: Deliver the service manually to test value

  3. Key principles (Alberto Savoia, The Right It):

    • Skin-in-the-Game: Test willingness to pay — not just interest. Real commitment (time, money, reputation) is the only reliable signal.
    • Your Own Data (YODA): Collect your own data through experiments rather than relying on Others' Data (ODP) like market reports or analogies. "The market for your idea does not care about the market for someone else's idea."
    • Measure actual behavior, not users' opinions

  4. For each experiment, specify the hypothesis being tested, the method, the metric, and the success threshold.

Think step by step. Save as markdown if substantial.

Further Reading

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