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| Criterion |  Growth A/B Testing |  UX Research Card Sorting |  UX Research First-click Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. | 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 | High | Low | Low | Low |
Timedifferent | 1-4 Wochen | 20-45 min | 1-2 Tage | 30-60 min |
Participantsdifferent | 1-6 | Based on research question | 10-30 | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Content groups, Label set, IA hypotheses | Click Heatmap, Success Rate, Design Recommendations | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationStructure | UXNavigationFindabilityValidation | ExperimentsValidationDiscoveryHypothesis |