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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Growth A/B Testing |  Growth Funnel Analysis |  Product Discovery Learning Card |
|---|---|---|---|---|
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 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 60-90 min | 1-4 Wochen | 1-3 h | 25-40 min |
Participantsdifferent | 3-8 | 1-6 | 1-5 | 1-5 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses | Learning Card with evidence and next action |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth | ExperimentsValidationDiscoveryLearning |