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| Criterion |  Growth A/B Testing |  UX Research Card Sorting |  Innovation Design Thinking |  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. | 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 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 | High | Low |
Timedifferent | 1-4 Wochen | 20-45 min | 1 Tag bis mehrere Wochen | 30-60 min |
Participantsdifferent | 1-6 | Based on research question | 4-10 | 1-5 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Content groups, Label set, IA hypotheses | Problem Statement, Prototype, Test Learnings | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationStructure | InnovationPrototypeResearch | ExperimentsValidationDiscoveryHypothesis |