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| Criterion |  Product Strategy DIBB |  Systems Thinking Leverage Points |  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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 | High |
Timedifferent | 1-2 h | Half day | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Leverage Map, Action Strategy | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Systems thinkingChangeStrategy | ExperimentsGrowthAnalyticsValidation |
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