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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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.
Complexitydifferent
LowMediumHighLow
Timedifferent
1-2 h1-2 Wochen1-4 Wochen25-40 min
Participantsdifferent
2-81-61-61-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportExperiment card, Result summary, Next betExperiment results, Decision log, Learning summaryLearning Card with evidence and next action
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryLearning
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