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| Criterion |  Growth A/B Testing |  Engineering Goal Question Metric |  Growth Pirate Metrics AARRR |  Growth North Star Metric |
|---|---|---|---|---|
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. | 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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 90-180 min | 1-2 h Setup, laufend | 1-2 h |
Participantsdifferent | 1-6 | 3-6 | 2-8 | 3-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | GQM Table, Metric Profiles | AARRR funnel, Metric baseline, Experiment backlog | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementEngineeringAlignment | GrowthMetricsExperiments | GrowthMetricsAlignmentRetention |