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| Criterion |  UX Research Affinity Diagramming |  Domain Modeling EventStorming |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
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 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 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 45–90 min | 2-8 h | 60-90 min |
Participantsdifferent | 3-10 | 5-12 | 3-8 |
Formatsame | Workshop | Workshop | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop | ExperimentsPrioritizationDiscoveryHypothesis |
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