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| Criterion |  Product Discovery Landing Page Test |  Growth A/B Testing |  Product Strategy KPI Tree |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | When a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest. | 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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | 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 | Medium | High | Medium | Medium |
Timedifferent | 1-5 Tage | 1-4 Wochen | 90-180 min initial, dann laufend | 1-2 Wochen |
Participantsdifferent | Nutzertraffic | 1-6 | 3-8 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Landing Page, Conversion Data, Learning Summary | Experiment results, Decision log, Learning summary | KPI Tree, Owner List | Experiment card, Result summary, Next bet |
Tagsno overlap | ValidationConversionMarketing | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement | MarketingGrowthExperimentsLearning |