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| Criterion |  UX Research Surveys |  UX Research Personas |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 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 | Medium | High | Medium |
Timedifferent | 3-14 Tage | 1-3 Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 50+ | Internes Team | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Survey Results, Charts, Segment Insights | Persona Profiles, Needs Summary, Scenario Notes | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | QuantitativeResearchValidation | ResearchCustomerSynthesis | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |