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| Criterion |  Product Discovery Jobs to Be Done |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
Purposedifferent | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-3 Wochen | 1-4 Wochen | 60-90 min | 60-120 min |
Participantsdifferent | 5-12 Interviews | 1-6 | 3-8 | 3-6 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Job Stories, Outcome Statements, Opportunity List | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Opportunity Score Table, Top Outcomes |
Tagsno overlap | CustomerOutcomesNeeds | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationDiscoveryOutcomesNeeds |