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| Criterion |  Growth A/B Testing |  UX Research Surveys |  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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 | Medium | Medium |
Timedifferent | 1-4 Wochen | 3-14 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 50+ | Nutzertraffic |
Formatsame | Async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Survey Results, Charts, Segment Insights | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | QuantitativeResearchValidation | ValidationExperimentsDemandDiscovery |
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