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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 Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
LowHighLowMedium
Timedifferent
1-2 h1-4 Wochen25-40 min1-2 Wochen pro Iteration
Participantsdifferent
2-81-61-52-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExperiment results, Decision log, Learning summaryLearning Card with evidence and next actionPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryAssumptions
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