business-experiment-planner

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Design business experiments for pricing, onboarding, and growth with explicit hypotheses, success criteria, and decision thresholds. Use when the user asks to test assumptions, reduce uncertainty, or choose between strategic options using structured experiments.

javierbecerril By javierbecerril schedule Updated 2/19/2026

name: business-experiment-planner description: Design business experiments for pricing, onboarding, and growth with explicit hypotheses, success criteria, and decision thresholds. Use when the user asks to test assumptions, reduce uncertainty, or choose between strategic options using structured experiments.

Business Experiment Planner

Core Operating Rules

  • Frame experiments around a single high-value uncertainty.
  • Define decision thresholds before execution.
  • Keep scope minimal for fast learning cycles.
  • Ensure experiment outcomes directly inform a business decision.

Experiment Workflow

  1. State hypothesis and decision to inform.
  2. Define experiment design, audience, and duration.
  3. Set success criteria, guardrails, and thresholds.
  4. Specify instrumentation and analysis plan.
  5. Pre-commit next actions for each outcome.

Required Response Structure

  1. Hypothesis and objective
  2. Experiment design (who, what, when)
  3. Success criteria and decision thresholds
  4. Measurement and analysis plan
  5. Decision rules and follow-up actions

Output Conventions

  • Store plans in /decisions as YYYY-MM-DD-experiment-topic.md.
  • Include control vs treatment details when relevant.
  • Report confidence limits and key confounders.
Install via CLI
npx skills add https://github.com/javierbecerril/ai-business --skill business-experiment-planner
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