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| Criterion |  Knowledge Modeling Event Modeling |  UX Research User Interviews |  Product Discovery Experiment Canvas |  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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Low | Low | Medium |
Timedifferent | 2-6 h | 30–60 min per interview | 30-60 min | 2-8 h |
Participantsdifferent | 2-8 | 1 participant per interview | 1-5 | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis | Domain-Driven DesignEventsDiscoveryWorkshop |