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Criterion
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
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 MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.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 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
MediumHighLowMedium
Timedifferent
1-2 h Setup, laufend1-4 Wochen45-90 min45-75 min
Participantsdifferent
2-61-62-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Opportunity Solution Tree, Experiment Backlog, Learning LogExperiment results, Decision log, Learning summaryAnsoff Matrix, Growth Options, Risk NotesTest Matrix, Test Plan
Tagsno overlap
DiscoveryOutcomesExperimentsOpportunity
ExperimentsGrowthAnalyticsValidation
GrowthStrategyMarketPortfolio
ExperimentsValidationDiscoveryOptions
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