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| Criterion |  Product Discovery Opportunity Scoring |  Growth Funnel Analysis |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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. | 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 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 60-120 min | 1-3 h | 1-4 Wochen | 60-90 min |
Participantsdifferent | 3-6 | 1-5 | 1-6 | 3-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis |