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| Criterion |  Growth A/B Testing |  Product Strategy KPI Tree |  Decision Making DACI |  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. | When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. | 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 | Low | Medium |
Timedifferent | 1-4 Wochen | 90-180 min initial, dann laufend | 30-60 min | 1-2 h |
Participantsdifferent | 1-6 | 3-8 | 2-10 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | KPI Tree, Owner List | DACI Matrix, Decision Owner, Decision Log | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement | DecisionRolesGovernanceAlignment | GrowthMetricsAlignmentRetention |