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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-3 h45–90 min45-60 min1-4 Wochen
Participantsdifferent
2-83-102-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Issue Map, Positions, Argument NotesTheme clusters, Insight statements, Opportunity areasAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
RationaleKnowledgeDecision
SynthesisQualitativeRoot cause
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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