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| Criterion |  Decision Making PERT Estimation |  UX Research HEART Framework |  Growth A/B Testing |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 15-45 min | 120 min initial, dann laufend | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 1-8 | 3-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | PERT Estimate, Expected Value, Risk Notes | HEART-GSM Table, Dashboard | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | EstimationUncertaintyRisk | MetricsUX researchMeasurementSatisfaction | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |