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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Delphi Method |  Decision Making Risk Matrix |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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 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 a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | 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. |
Complexitydifferent | Medium | High | Low | Low |
Timedifferent | 60-90 min | 1-4 Wochen | 30-60 min | 1-2 h |
Participantsdifferent | 3-8 | 6-30 Experten | 3-10 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Expert Forecast, Consensus Range, Assumption Notes | Risk Matrix, Top Risk List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | ForecastingExpertsDecisionStrategy | RiskDecisionPrioritizationAssessment | StrategyDecisionAssumptionsHypothesis |