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| Criterion |  Agile WSJF |  Product Discovery Hypothesis Prioritization Canvas |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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 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 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 | High | Medium | High | Low |
Timedifferent | 45-90 min | 60-90 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-10 | 3-8 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Prioritization Canvas, Hypothesis Backlog | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | LeanEconomicsSequencePrioritization | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |