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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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
Purposedifferent
In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
15-60 min je Zyklus1-2 h1-2 Wochen1-4 Wochen
Participantsdifferent
1-82-81-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesDIBB document, Belief list, Bet list, Learning reportExperiment card, Result summary, Next betExperiment results, Decision log, Learning summary
Tagsno overlap
DecisionChangeLearningStrategy
StrategyDecisionAssumptionsHypothesis
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
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