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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
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
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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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
HighMediumMediumMedium
Timedifferent
1-4 Wochen1-3 h1-5 Tage45-75 min
Participantsdifferent
1-64-10Nutzertraffic2-8
Formatdifferent
AsyncWorkshopAsyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryCurrent-state map, Future-state map, Bottleneck listClick Data, Interest Signal, Learning DecisionTest Matrix, Test Plan
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
LeanFlowWasteDelivery
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryOptions
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