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| Criterion |  UX Research Affinity Diagramming |  UX Research Empathy Mapping |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Low | Low | Medium | Medium |
Timedifferent | 45–90 min | 30–60 min | 60-90 min | 1-5 Tage |
Participantsdifferent | 3-10 | 4-8 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Workshop | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Empathy Map, Assumptions List, Research Gaps | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | SynthesisQualitativeRoot cause | SynthesisQualitativeWorkshop | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |