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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Hypothesis Prioritization Canvas |  UX Research Affinity Diagramming |  Domain Modeling EventStorming |
|---|---|---|---|---|
Purposedifferent | 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 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 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 2-6 h | 60-90 min | 45–90 min | 2-8 h |
Participantsdifferent | 2-8 | 3-8 | 3-10 | 5-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Prioritization Canvas, Hypothesis Backlog | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ExperimentsPrioritizationDiscoveryHypothesis | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop |