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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Goal Question Metric with its method-specific working model.
Engineering
Goal Question Metric
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs.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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
45-60 min1-4 Wochen90-180 min1-2 h Setup, laufend
Participantsdifferent
2-81-63-62-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Assumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summaryGQM Table, Metric ProfilesAARRR funnel, Metric baseline, Experiment backlog
Tagsno overlap
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
MetricsMeasurementEngineeringAlignment
GrowthMetricsExperiments
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