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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowLowHighLow
Timedifferent
60-90 min1-2 h1-4 Wochen30-60 min
Participantsdifferent
4-102-81-61-5
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Problem Cluster, Prioritized Challenge, ExperimentDIBB document, Belief list, Bet list, Learning reportExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
FacilitationDecisionProblem solvingWorkshop
StrategyDecisionAssumptionsHypothesis
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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