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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 North Star Metric with its core stages and visible working result.
Growth
North Star Metric
A paper-based illustration representing arc42 with its core stages and visible working result.
Architecture
arc42
A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
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.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.arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes.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
HighMediumLowMedium
Timedifferent
1-4 Wochen1-2 h1-2 Tage1-2 h Setup, laufend
Participantsdifferent
1-63-81-42-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryNorth Star metric, Input metric tree, Measurement cadenceArchitecture Document, Context View, Runtime View, Deployment ViewAARRR funnel, Metric baseline, Experiment backlog
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
GrowthMetricsAlignmentRetention
ArchitectureDocumentationCommunication
GrowthMetricsExperiments
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