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Criterion
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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
MediumLowMediumMedium
Timedifferent
2-6 h20–45 min30-90 min2-8 h
Participantsdifferent
2-8Small cross-functional group1-65-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Event Model, UI Flow, Commands, Read ModelsRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption ListEvent Timeline, Ubiquitous Language, Boundaries, Open Questions
Tagsno overlap
EventsBlueprintDomain-Driven DesignBehavior
RiskDecisionFailurePlanning
DecisionTreeOptions
Domain-Driven DesignEventsDiscoveryWorkshop
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