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| Criterion |  Growth A/B Testing |  Decision Making Constraint Analysis |  Product Discovery Learning Card |  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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | 25-40 min | 1-2 Wochen |
Participantsdifferent | 1-6 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Learning Card with evidence and next action | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryLearning | MarketingGrowthExperimentsLearning |