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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Purposedifferent
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 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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
LowHighLowLow
Timedifferent
1-2 h1-4 Wochen20-35 min45-90 min
Participantsdifferent
2-81-61-52-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExperiment results, Decision log, Learning summaryTest Card with a pre-set thresholdAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
AssumptionsRiskDecisionDiscovery
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