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| Criterion |  Growth A/B Testing |  Growth Funnel Analysis |  Product Strategy KPI Tree |  Engineering Goal Question 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-3 h | 90-180 min initial, dann laufend | 90-180 min |
Participantsdifferent | 1-6 | 1-5 | 3-8 | 3-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | KPI Tree, Owner List | GQM Table, Metric Profiles |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | MetricsStrategyAlignmentMeasurement | MetricsMeasurementEngineeringAlignment |