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| Criterion |  Product Strategy DIBB |  Decision Making OODA Loop |  Growth A/B Testing |  Decision Making Force Field Analysis |
|---|---|---|---|---|
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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | 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. | 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. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | 15-60 min je Zyklus | 1-4 Wochen | 45-90 min |
Participantsdifferent | 2-8 | 1-8 | 1-6 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Situation Assessment, Decision Loop, Action Updates | Experiment results, Decision log, Learning summary | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | DecisionChangeLearningStrategy | ExperimentsGrowthAnalyticsValidation | ChangeDecisionStrategy |