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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Context Map workspace showing the question, observations, and next decision.
Domain Modeling
Context Map
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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries.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
MediumMediumMediumHigh
Timedifferent
1-3 h1-3 h45-60 min1-4 Wochen
Participantsdifferent
2-82-82-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Issue Map, Positions, Argument NotesContext Map, Integration Patterns, Boundary NotesAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
RationaleKnowledgeDecision
Domain-Driven DesignBoundariesStrategy
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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