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| Criterion |  Product Discovery Assumption Mapping |  UX Research Card Sorting |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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 only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 45-60 min | 20-45 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | Based on research question | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AssumptionsRiskExperimentsValidation | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |