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Criterion
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
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
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
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.When a group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time.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
30-90 min2-6 h1-3 h2-8 h
Participantsdifferent
1-62-85-305-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListEvent Model, UI Flow, Commands, Read ModelsConsensus Clusters, Theme Titles, Priority AreasEvent Timeline, Ubiquitous Language, Boundaries, Open Questions
Tagsno overlap
DecisionTreeOptions
EventsBlueprintDomain-Driven DesignBehavior
FacilitationConsensusWorkshopAlignment
Domain-Driven DesignEventsDiscoveryWorkshop
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