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Selected:Pirate Metrics AARRRHEART FrameworkTest CardA/B Testing
Criterion
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
1-2 h Setup, laufend120 min initial, dann laufend20-35 min1-4 Wochen
Participantsdifferent
2-83-61-51-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
AARRR funnel, Metric baseline, Experiment backlogHEART-GSM Table, DashboardTest Card with a pre-set thresholdExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthMetricsExperiments
MetricsUX researchMeasurementSatisfaction
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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