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| Criterion |  Decision Making Force Field Analysis |  Decision Making Delphi Method |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 45-90 min | 1-4 Wochen | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 6-30 Experten | 1-5 | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Expert Forecast, Consensus Range, Assumption Notes | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeDecisionStrategy | ForecastingExpertsDecisionStrategy | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |