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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Purposedifferent
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.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.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.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.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
20–45 min2-8 h30-90 min2-6 h
Participantsdifferent
Small cross-functional group5-121-62-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logEvent Timeline, Ubiquitous Language, Boundaries, Open QuestionsDecision Tree, Option Map, Assumption ListEvent Model, UI Flow, Commands, Read Models
Tagsno overlap
RiskDecisionFailurePlanning
Domain-Driven DesignEventsDiscoveryWorkshop
DecisionTreeOptions
EventsBlueprintDomain-Driven DesignBehavior
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