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| Criterion |  Decision Making Three-Point Estimation |  Growth A/B Testing |  Growth Funnel Analysis |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 10-30 min je Item | 1-4 Wochen | 1-3 h | 1-5 Tage |
Participantsdifferent | 1-8 | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Three-Point Estimate, Risk Range, Assumption Notes | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationUncertaintyForecasting | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | ValidationExperimentsDemandDiscovery |