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| Criterion |  Product Strategy ICE Scoring |  Decision Making OODA Loop |  Growth A/B Testing |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | In dynamic situations, decisions become outdated faster than they can be prepared.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 | Low | Medium | High | Medium |
Timedifferent | 30-60 min | 15-60 min je Zyklus | 1-4 Wochen | 1-2 Wochen |
Participantsdifferent | 2-8 | 1-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | ICE Table, Top Idea List | Situation Assessment, Decision Loop, Action Updates | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet |
Tagsno overlap | PrioritizationScoringGrowthDecision | DecisionChangeLearningStrategy | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning |