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| Criterion |  Growth A/B Testing |  Product Discovery MVP Test Matrix |  Decision Making Force Field Analysis |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 45-75 min | 45-90 min | 15-60 min je Zyklus |
Participantsdifferent | 1-6 | 2-8 | 3-12 | 1-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Test Matrix, Test Plan | Force Field Map, Change Levers, Risk Notes | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryOptions | ChangeDecisionStrategy | DecisionChangeLearningStrategy |