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| Criterion |  UX Research HEART Framework |  Systems Thinking Evaporating Cloud |  Growth Pirate Metrics AARRR |  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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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 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 | 60-120 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | Theory of ConstraintsAssumptionsSystems thinking | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |