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| Criterion |  Growth A/B Testing |  Product Discovery Outcome-Driven Innovation |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | High | High | Low | Medium |
Timedifferent | 1-4 Wochen | Mehrere Wochen | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 2-6 researchers plus sample | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | OutcomesInnovationResearchQuantitative | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |