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Criterion
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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 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.For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks.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
45-75 min1-4 Wochen1-2 h Setup, laufend1-5 Tage
Participantsdifferent
2-81-62-8Nutzertraffic
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Test Matrix, Test PlanExperiment results, Decision log, Learning summaryAARRR funnel, Metric baseline, Experiment backlogClick Data, Interest Signal, Learning Decision
Tags1 shared
ExperimentsValidationDiscoveryOptions
ExperimentsGrowthAnalyticsValidation
GrowthMetricsExperiments
ValidationExperimentsDemandDiscovery
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