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| Criterion | ![]() UX Research Empathy Mapping | ![]() UX Research Personas | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 30–60 min | 1-3 Tage | 1-4 Wochen | 45-60 min |
Participantsdifferent | 4-8 | Internes Team | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Empathy Map, Assumptions List, Research Gaps | Persona Profiles, Needs Summary, Scenario Notes | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | SynthesisQualitativeWorkshop | ResearchCustomerSynthesis | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |



