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| Criterion |  Growth Pirate Metrics AARRR |  UX Research HEART Framework |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-2 h Setup, laufend | 120 min initial, dann laufend | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-8 | 3-6 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | HEART-GSM Table, Dashboard | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | GrowthMetricsExperiments | MetricsUX researchMeasurementSatisfaction | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |