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Criterion
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
EventStorming on a long working surface: colored event cards form a business flow, friction points are marked, and a boundary separates different areas of responsibility.
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 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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
MediumLowLowMedium
Timedifferent
2-6 h5-15 min45-90 min2-8 h
Participantsdifferent
2-83-202-85-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Event Model, UI Flow, Commands, Read ModelsRanked list, Consensus signal, ShortlistAssumption List, Critical Assumptions, Learning PlanEvent Timeline, Ubiquitous Language, Boundaries, Open Questions
Tagsno overlap
EventsBlueprintDomain-Driven DesignBehavior
FacilitationVotingConsensusPrioritization
AssumptionsRiskDecisionDiscovery
Domain-Driven DesignEventsDiscoveryWorkshop
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