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| Criterion |  Growth A/B Testing |  UX Research Affinity Diagramming |  Innovation Design Sprint |  UX Research Empathy Mapping |
|---|---|---|---|---|
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 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | When a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 1-4 Wochen | 45–90 min | 4-5 Tage | 30–60 min |
Participantsdifferent | 1-6 | 3-10 | 5-8 | 4-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Theme clusters, Insight statements, Opportunity areas | Prototype, Test Findings, Decision Rationale | Empathy Map, Assumptions List, Research Gaps |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | SynthesisQualitativeRoot cause | Design sprintPrototypeValidationInnovation | SynthesisQualitativeWorkshop |