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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
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star 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.When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.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 Wochen1-2 h1-2 h Setup, laufend
Participantsdifferent
2-81-63-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Assumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summaryNorth Star metric, Input metric tree, Measurement cadenceAARRR funnel, Metric baseline, Experiment backlog
Tagsno overlap
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
GrowthMetricsAlignmentRetention
GrowthMetricsExperiments
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