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| Criterion | ![]() UX Research Empathy Mapping | ![]() UX Research Usability Testing | ![]() Product Discovery Smoke Test | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 30–60 min | 1-2 h je Session | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-8 | Based on research question | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Empathy Map, Assumptions List, Research Gaps | Usability Issues, Severity List, Recommendations | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | SynthesisQualitativeWorkshop | ValidationUXPrototype | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |



