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| Criterion |  Product Strategy DIBB |  Decision Making Delphi Method |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | 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 | Low | High | Low | Medium |
Timedifferent | 1-2 h | 1-4 Wochen | 30–60 min per interview | 60-90 min |
Participantsdifferent | 2-8 | 6-30 Experten | 1 participant per interview | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |