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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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
MediumLowLowMedium
Timedifferent
1-3 h20-45 min1-2 h1-3 h
Participantsdifferent
2-8Based on research question2-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesContent groups, Label set, IA hypothesesDIBB document, Belief list, Bet list, Learning reportArgument Map, Evidence Gaps, Decision Rationale
Tagsno overlap
RationaleKnowledgeDecision
Information architectureNavigationStructure
StrategyDecisionAssumptionsHypothesis
SensemakingDecisionRationale
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