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| Criterion |  Systems Thinking Evaporating Cloud |  Growth Funnel Analysis |  Product Strategy DIBB |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. | 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 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 | Medium | Low | High |
Timedifferent | 60-120 min | 1-3 h | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Funnel report, Drop-off analysis, Optimization hypotheses | DIBB document, Belief list, Bet list, Learning report | Experiment results, Decision log, Learning summary |
Tagsno overlap | Theory of ConstraintsAssumptionsSystems thinking | AnalyticsConversionGrowth | StrategyDecisionAssumptionsHypothesis | ExperimentsGrowthAnalyticsValidation |