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| Criterion |  UX Research Card Sorting |  Product Discovery Smoke Test |  Innovation Design Thinking |  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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 | Low | High | High |
Timedifferent | 20-45 min | 1-5 Tage | 1 Tag bis mehrere Wochen | 1-4 Wochen |
Participantsdifferent | Based on research question | Nutzertraffic | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Content groups, Label set, IA hypotheses | Interest Metrics, Conversion Signal, Learning Note | Problem Statement, Prototype, Test Learnings | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationStructure | ValidationExperimentsDemandGrowth | InnovationPrototypeResearch | ExperimentsGrowthAnalyticsValidation |