View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 30-60 min | 1-5 Tage |
Participantsdifferent | 1-6 | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |