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| Criterion |  UX Research Surveys |  Growth A/B Testing |  UX Research Card Sorting |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 3-14 Tage | 1-4 Wochen | 20-45 min | 30-60 min |
Participantsdifferent | 50+ | 1-6 | Based on research question | 1-5 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary | Content groups, Label set, IA hypotheses | Completed Experiment Canvas, Success Metric |
Tagsno overlap | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationStructure | ExperimentsValidationDiscoveryHypothesis |