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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Growth Pirate Metrics AARRR |  Engineering Goal Question Metric |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | 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 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 60-90 min | 1-2 h Setup, laufend | 90-180 min | 30-60 min |
Participantsdifferent | 3-8 | 2-8 | 3-6 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | AARRR funnel, Metric baseline, Experiment backlog | GQM Table, Metric Profiles | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | GrowthMetricsExperiments | MetricsMeasurementEngineeringAlignment | ExperimentsValidationDiscoveryHypothesis |