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| Criterion |  Product Discovery Opportunity Scoring |  Product Strategy DIBB |  Decision Making Delphi Method |  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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | High | Medium |
Timedifferent | 60-120 min | 1-2 h | 1-4 Wochen | 60-90 min |
Participantsdifferent | 3-6 | 2-8 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | ExperimentsPrioritizationDiscoveryHypothesis |