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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Event Modeling |  Domain Modeling EventStorming |
|---|---|---|---|---|
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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 60-90 min | 2-6 h | 2-8 h |
Participantsdifferent | 3-10 | 3-8 | 2-8 | 5-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Prioritization Canvas, Hypothesis Backlog | Event Model, UI Flow, Commands, Read Models | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsPrioritizationDiscoveryHypothesis | EventsBlueprintDomain-Driven DesignBehavior | Domain-Driven DesignEventsDiscoveryWorkshop |