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| Criterion |  Decision Making Delphi Method |  Decision Making OODA Loop |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | In dynamic situations, decisions become outdated faster than they can be prepared.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. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1-4 Wochen | 15-60 min je Zyklus | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 6-30 Experten | 1-8 | 1-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |