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| Criterion |  Domain Modeling EventStorming |  Product Discovery Opportunity Solution Tree |  UX Research Affinity Diagramming |  Knowledge Modeling Event Modeling |
|---|---|---|---|---|
Purposedifferent | 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 2-8 h | 1-2 h Setup, laufend | 45–90 min | 2-6 h |
Participantsdifferent | 5-12 | 2-6 | 3-10 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Opportunity Solution Tree, Experiment Backlog, Learning Log | Theme clusters, Insight statements, Opportunity areas | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | DiscoveryOutcomesExperimentsOpportunity | SynthesisQualitativeRoot cause | EventsBlueprintDomain-Driven DesignBehavior |