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Criterion
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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h2-8 h30-90 min30-90 min
Participantsdifferent
2-85-121-62-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesEvent Timeline, Ubiquitous Language, Boundaries, Open QuestionsDecision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
RationaleKnowledgeDecision
Domain-Driven DesignEventsDiscoveryWorkshop
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
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