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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Domain Modeling EventStorming | ![]() Product Discovery Opportunity Solution Tree | ![]() Knowledge Modeling Event Modeling |
|---|---|---|---|---|
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 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. | 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 | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 2-8 h | 1-2 h Setup, laufend | 2-6 h |
Participantsdifferent | 3-10 | 5-12 | 2-6 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Opportunity Solution Tree, Experiment Backlog, Learning Log | Event Model, UI Flow, Commands, Read Models |
Tagsno overlap | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop | DiscoveryOutcomesExperimentsOpportunity | EventsBlueprintDomain-Driven DesignBehavior |



