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| Criterion |  Growth North Star Metric |  Product Discovery Hypothesis Prioritization Canvas |  Engineering Goal Question Metric |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h | 60-90 min | 90-180 min | 1-2 h Setup, laufend |
Participantsdifferent | 3-8 | 3-8 | 3-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | Prioritization Canvas, Hypothesis Backlog | GQM Table, Metric Profiles | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | GrowthMetricsAlignmentRetention | ExperimentsPrioritizationDiscoveryHypothesis | MetricsMeasurementEngineeringAlignment | GrowthMetricsExperiments |