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| Criterion |  Growth A/B Testing |  Decision Making OODA Loop |  Engineering Goal Question Metric |  Growth Growth Experiment |
|---|---|---|---|---|
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. | In dynamic situations, decisions become outdated faster than they can be prepared.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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. | 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 | Medium | Medium |
Timedifferent | 1-4 Wochen | 15-60 min je Zyklus | 90-180 min | 1-2 Wochen |
Participantsdifferent | 1-6 | 1-8 | 3-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Situation Assessment, Decision Loop, Action Updates | GQM Table, Metric Profiles | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | DecisionChangeLearningStrategy | MetricsMeasurementEngineeringAlignment | MarketingGrowthExperimentsLearning |