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| Criterion |  Growth A/B Testing |  Product Discovery Landing Page Test |  Product Discovery Riskiest Assumption Test |  Growth Funnel Analysis |
|---|---|---|---|---|
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 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 1-2 Wochen pro Iteration | 1-3 h |
Participantsdifferent | 1-6 | Nutzertraffic | 2-6 | 1-5 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Landing Page, Conversion Data, Learning Summary | Prioritized Assumption List, Test Plan, Results Report | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationConversionMarketing | ExperimentsValidationDiscoveryAssumptions | AnalyticsConversionGrowth |