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Criterion
A paper-based illustration representing Event Modeling with its core stages and visible working result.
Knowledge Modeling
Event Modeling
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
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.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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
2-6 h30-90 min1-3 h2-8 h
Participantsdifferent
2-81-62-85-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Event Model, UI Flow, Commands, Read ModelsDecision Tree, Option Map, Assumption ListIssue Map, Positions, Argument NotesEvent Timeline, Ubiquitous Language, Boundaries, Open Questions
Tagsno overlap
EventsBlueprintDomain-Driven DesignBehavior
DecisionTreeOptions
RationaleKnowledgeDecision
Domain-Driven DesignEventsDiscoveryWorkshop
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