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Criterion
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
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
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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 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.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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-3 h1-4 Wochen45-75 min1-5 Tage
Participantsdifferent
4-101-62-8Nutzertraffic
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Current-state map, Future-state map, Bottleneck listExperiment results, Decision log, Learning summaryTest Matrix, Test PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
LeanFlowWasteDelivery
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
ValidationExperimentsDemandDiscovery
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