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Criterion
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
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1-4 Wochen1-2 h Setup, laufend1-5 Tage25-40 min
Participantsdifferent
1-62-8Nutzertraffic1-5
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryAARRR funnel, Metric baseline, Experiment backlogClick Data, Interest Signal, Learning DecisionLearning Card with evidence and next action
Tags1 shared
ExperimentsGrowthAnalyticsValidation
GrowthMetricsExperiments
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryLearning
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