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| Criterion |  Product Discovery Smoke Test |  Decision Making OODA Loop |  Growth A/B Testing |  Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | In dynamic situations, decisions become outdated faster than they can be prepared.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 | 1-5 Tage | 15-60 min je Zyklus | 1-4 Wochen | 45-90 min |
Participantsdifferent | Nutzertraffic | 1-8 | 1-6 | 3-12 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | Situation Assessment, Decision Loop, Action Updates | Experiment results, Decision log, Learning summary | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | ValidationExperimentsDemandGrowth | DecisionChangeLearningStrategy | ExperimentsGrowthAnalyticsValidation | ChangeDecisionStrategy |