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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 a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.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
HighHighLowLow
Timedifferent
0.5-2 Tage1-4 Wochen45-90 min30-60 min
Participantsdifferent
4-121-62-81-5
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Scenario Set, Strategic Implications, Robust OptionsExperiment results, Decision log, Learning summaryAnsoff Matrix, Growth Options, Risk NotesCompleted Experiment Canvas, Success Metric
Tagsno overlap
StrategyUncertaintyPlanning
ExperimentsGrowthAnalyticsValidation
GrowthStrategyMarketPortfolio
ExperimentsValidationDiscoveryHypothesis
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