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Criterion
Scenario Planning method illustration showing its working structure
Business Strategy
Scenario Planning
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
Scenario Planning opens the view to several plausible futures instead of a single forecast. The method protects strategies from depending on too narrow an expected path.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.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighLowMedium
Timedifferent
0.5-2 Tage1-4 Wochen1-2 h45-60 min
Participantsdifferent
4-121-62-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Scenario Set, Strategic Implications, Robust OptionsExperiment results, Decision log, Learning summaryDIBB document, Belief list, Bet list, Learning reportAssumption map, Test backlog, Risk ranking
Tagsno overlap
StrategyUncertaintyPlanning
ExperimentsGrowthAnalyticsValidation
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskExperimentsValidation
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