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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 ALPEN Method
Operations
ALPEN Method
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen1-2 h Setup, laufend10-20 min daily45-60 min
Participantsdifferent
1-62-812-8
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryAARRR funnel, Metric baseline, Experiment backlogDaily Plan, Time Estimates, Review NotesAssumption map, Test backlog, Risk ranking
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
GrowthMetricsExperiments
PlanningTime managementProductivityOperations
AssumptionsRiskExperimentsValidation
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