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Criterion
How Might We
Innovation
How Might We
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
With a stuck problem carrying many implicit assumptions, the method translates observations into open, workable questions. It sharpens the problem frame without pre-thinking the solution, turning frustration or fuzziness into a search space with clear direction.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.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
LowHighMediumMedium
Timedifferent
30–45 min1-4 Wochen1-5 Tage45-75 min
Participantsdifferent
1-101-6Nutzertraffic2-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning DecisionTest Matrix, Test Plan
Tagsno overlap
FramingOpportunityIdeationQuestions
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryOptions
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