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| Criterion |  UX Research User Interviews |  Product Strategy ICE Scoring |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Low | Low | High | Medium |
Timedifferent | 30–60 min per interview | 30-60 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1 participant per interview | 2-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | QualitativeResearchCustomerDiscovery | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |