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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy KPI Tree |  Growth Pirate Metrics AARRR |  Growth North Star Metric |
|---|---|---|---|---|
Purposedifferent | 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. | When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-90 min | 90-180 min initial, dann laufend | 1-2 h Setup, laufend | 1-2 h |
Participantsdifferent | 3-8 | 3-8 | 2-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | KPI Tree, Owner List | AARRR funnel, Metric baseline, Experiment backlog | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | MetricsStrategyAlignmentMeasurement | GrowthMetricsExperiments | GrowthMetricsAlignmentRetention |