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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Hypothesis Prioritization Canvas |  Domain Modeling EventStorming |  UX Research Empathy Mapping |
|---|---|---|---|---|
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 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 a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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 | Low | Medium | Medium | Low |
Timedifferent | 45–90 min | 60-90 min | 2-8 h | 30–60 min |
Participantsdifferent | 3-10 | 3-8 | 5-12 | 4-8 |
Formatsame | Workshop | Workshop | Workshop | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Empathy Map, Assumptions List, Research Gaps |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis | Domain-Driven DesignEventsDiscoveryWorkshop | SynthesisQualitativeWorkshop |