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Criterion
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
LowMediumHighMedium
Timedifferent
45-90 min30-90 min1-4 Wochen45-75 min
Participantsdifferent
2-81-61-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Ansoff Matrix, Growth Options, Risk NotesDecision Tree, Option Map, Assumption ListExperiment results, Decision log, Learning summaryTest Matrix, Test Plan
Tagsno overlap
GrowthStrategyMarketPortfolio
DecisionTreeOptions
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
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