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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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
2-83-122-81-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesAffinity Size Map, Grouped Estimates, Unclear ItemsDIBB document, Belief list, Bet list, Learning reportArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
RationaleKnowledgeDecision
EstimationBacklogRelative sizing
StrategyDecisionAssumptionsHypothesis
SensemakingDecisionRationale
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