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| Criterion |  Product Strategy DIBB |  Growth Funnel Analysis |  Decision Making Delphi Method |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 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 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 | Medium | High | High |
Timedifferent | 1-2 h | 1-3 h | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Funnel report, Drop-off analysis, Optimization hypotheses | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | AnalyticsConversionGrowth | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation |