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| Criterion |  UX Research HEART Framework |  Growth Pirate Metrics AARRR |  Growth North Star Metric |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Medium | High |
Timedifferent | 120 min initial, dann laufend | 1-2 h Setup, laufend | 1-2 h | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | AARRR funnel, Metric baseline, Experiment backlog | North Star metric, Input metric tree, Measurement cadence | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | GrowthMetricsExperiments | GrowthMetricsAlignmentRetention | ExperimentsGrowthAnalyticsValidation |