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| Criterion |  Growth Funnel Analysis |  Decision Making Force Field Analysis |  Decision Making Assumption Surfacing |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Low | Low | High |
Timedifferent | 1-3 h | 45-90 min | 45-90 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-12 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Force Field Map, Change Levers, Risk Notes | Assumption List, Critical Assumptions, Learning Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | ChangeDecisionStrategy | AssumptionsRiskDecisionDiscovery | ExperimentsGrowthAnalyticsValidation |