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Criterion
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumMediumHighLow
Timedifferent
1-3 h45-75 min1-4 Wochen30-60 min
Participantsdifferent
2-82-81-61-5
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Issue Map, Positions, Argument NotesTest Matrix, Test PlanExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
RationaleKnowledgeDecision
ExperimentsValidationDiscoveryOptions
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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