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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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
MediumMediumHighMedium
Timedifferent
1-3 h30-90 min1-4 Wochen1-3 h
Participantsdifferent
2-81-61-61-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesDecision Tree, Option Map, Assumption ListExperiment results, Decision log, Learning summaryArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
RationaleKnowledgeDecision
DecisionTreeOptions
ExperimentsGrowthAnalyticsValidation
SensemakingDecisionRationale
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