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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  Decision Making Force Field Analysis |
|---|---|---|---|
Purposedifferent | 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 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 45-90 min |
Participantsdifferent | 1-5 | 1-6 | 3-12 |
Formatdifferent | Async | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | ChangeDecisionStrategy |
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