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Criterion
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
LowLowLowHigh
Timedifferent
60-90 min1-2 h1-5 Tage1-4 Wochen
Participantsdifferent
4-102-8Nutzertraffic1-6
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentDIBB document, Belief list, Bet list, Learning reportInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
StrategyDecisionAssumptionsHypothesis
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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