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| Criterion |  Delivery MoSCoW |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Scoring |
|---|---|---|---|---|
Purposedifferent | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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 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 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 | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 60-90 min | 1-2 h Setup, laufend | 60-120 min |
Participantsdifferent | 3-12 | 3-8 | 2-6 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Prioritized Backlog, Release Scope, Tradeoff Notes | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log | Opportunity Score Table, Top Outcomes |
Tagsno overlap | PrioritizationScopeDecision | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity | PrioritizationDiscoveryOutcomesNeeds |