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| Criterion |  Product Discovery Opportunity Scoring |  Product Discovery Opportunity Solution Tree |  Growth A/B Testing |
|---|---|---|---|
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 60-120 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Opportunity Solution Tree, Experiment Backlog, Learning Log | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | DiscoveryOutcomesExperimentsOpportunity | ExperimentsGrowthAnalyticsValidation |
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