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| Criterion |  UX Research Card Sorting |  Decision Making Decision Matrix |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 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. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 20-45 min | 45-90 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | Based on research question | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Content groups, Label set, IA hypotheses | Decision Matrix, Scoring Rationale, Selected Option | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationStructure | DecisionCriteriaScoringTradeoffs | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |