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| Criterion |  Growth A/B Testing |  UX Research Card Sorting |  Product Discovery Assumption Mapping |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | 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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 20-45 min | 45-60 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-6 | Based on research question | 2-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Content groups, Label set, IA hypotheses | Assumption map, Test backlog, Risk ranking | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationStructure | AssumptionsRiskExperimentsValidation | ExperimentsValidationDiscoveryAssumptions |