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| Criterion |  Growth Growth Experiment |  Decision Making Delphi Method |  Growth A/B Testing |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | In dynamic situations, decisions become outdated faster than they can be prepared.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 | Medium | High | High | Medium |
Timedifferent | 1-2 Wochen | 1-4 Wochen | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 1-6 | 6-30 Experten | 1-6 | 1-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Experiment card, Result summary, Next bet | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | MarketingGrowthExperimentsLearning | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | DecisionChangeLearningStrategy |