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| Criterion |  UX Research HEART Framework |  Growth Pirate Metrics AARRR |  Engineering Goal Question 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. | 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. | 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 | 90-180 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 3-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | HEART-GSM Table, Dashboard | AARRR funnel, Metric baseline, Experiment backlog | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | GrowthMetricsExperiments | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |