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| Criterion |  UX Research Affinity Diagramming |  Growth A/B Testing |  UX Research User Interviews |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 | Low | High | Low | Low |
Timedifferent | 45–90 min | 1-4 Wochen | 30–60 min per interview | 30-60 min |
Participantsdifferent | 3-10 | 1-6 | 1 participant per interview | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis |