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| Criterion |  Product Discovery Opportunity Scoring |  Operations ABC Analysis |  Facilitation Dot Voting |  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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | 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 | Low | Low | Medium |
Timedifferent | 60-120 min | 30-60 min | 5-15 min | 60-90 min |
Participantsdifferent | 3-6 | 1-5 | 3-20 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | ABC Classification, Focus Rules, Control List | Ranked list, Consensus signal, Shortlist | Prioritization Canvas, Hypothesis Backlog |
Tags1 shared | PrioritizationDiscoveryOutcomesNeeds | PrioritizationOperationsPortfolio | FacilitationVotingConsensusPrioritization | ExperimentsPrioritizationDiscoveryHypothesis |