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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h30-90 min1-2 h1-3 h
Participantsdifferent
2-81-62-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportArgument Map, Evidence Gaps, Decision Rationale
Tags1 shared
RationaleKnowledgeDecision
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
SensemakingDecisionRationale
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