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| Criterion |  Knowledge Modeling Event Modeling |  Product Discovery Outcome-Driven Innovation |  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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 | High | Low | Medium |
Timedifferent | 2-6 h | Mehrere Wochen | 45–90 min | 2-8 h |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 3-10 | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | OutcomesInnovationResearchQuantitative | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop |