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| Criterion |  Engineering Goal Question Metric |  Growth Pirate Metrics AARRR |  Product Discovery Experiment Canvas |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 90-180 min | 1-2 h Setup, laufend | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | GQM Table, Metric Profiles | AARRR funnel, Metric baseline, Experiment backlog | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsMeasurementEngineeringAlignment | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |