Business

product-experimentation

Guides end-to-end product experiments by mapping assumptions, selecting appropriate test methods, defining guardrails and decision rules, and recording readouts that update product direction.

★ 88 GitHub Stars
94 Qualitätsbewertung
11 Dateien

About this Skill

Run end-to-end product experiments from assumption to decision: translate assumptions into testable hypotheses and experiment briefs, select the right method among qualitative interviews, prototypes, concierge tests, fake doors, feature flags, and A/B tests, and produce readouts that update the roadmap and decision record. Do not use when a qualitative or prototype test is the clearly right answer without statistical measurement; do not prescribe A/B testing by default; do not treat statistical significance as the only decision criterion or hide ethical and guardrail considerations.

Anwendungsfälle

  • Designing experiments from product assumptions
  • Selecting qualitative or quantitative test methods
  • Defining guardrails and stopping rules
  • Making ship/no-ship decisions
  • Recording experiment outcomes and roadmap updates

Funktionen

  • Assumption mapping and falsifiable hypothesis design
  • Method selection across interviews, prototypes, concierge tests, fake doors, feature flags, and A/B tests
  • Guardrail, ethics, stopping-rule, and decision-ownership guidance
  • Experiment brief, readout, and learning-entry templates
  • Routing guidance for statistical design and rollout mechanics

Unterstützte Agents

Not specified

Skill files

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