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| Criterion | ![]() UX Research Personas | ![]() UX Research Affinity Diagramming | ![]() Product Discovery Smoke Test | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-3 Tage | 45–90 min | 1-5 Tage | 1-5 Tage |
Participantsdifferent | Internes Team | 3-10 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Theme clusters, Insight statements, Opportunity areas | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ResearchCustomerSynthesis | SynthesisQualitativeRoot cause | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |



