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| Criterion |  Domain Modeling EventStorming |  Knowledge Modeling Event Modeling |  Facilitation Dot Voting |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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. | 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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 2-8 h | 2-6 h | 5-15 min | 60-90 min |
Participantsdifferent | 5-12 | 2-8 | 3-20 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Event Model, UI Flow, Commands, Read Models | Ranked list, Consensus signal, Shortlist | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | EventsBlueprintDomain-Driven DesignBehavior | FacilitationVotingConsensusPrioritization | ExperimentsPrioritizationDiscoveryHypothesis |