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| Criterion |  Product Strategy DIBB |  Decision Making Wideband Delphi |  Product Discovery Experiment Canvas |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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. |
Complexitydifferent | Low | High | Low | High |
Timedifferent | 1-2 h | 1-4 h or multiple rounds | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 4-12 Experten | 1-5 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Estimate Range, Assumption Log, Expert Consensus Notes | Completed Experiment Canvas, Success Metric | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | EstimationExpertsForecasting | ExperimentsValidationDiscoveryHypothesis | ForecastingExpertsDecisionStrategy |