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| Criterion |  Decision Making Delphi Method |  Agile Bucket System |  Product Discovery Riskiest Assumption Test |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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 large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 30-90 min | 1-2 Wochen pro Iteration | 1-2 h |
Participantsdifferent | 6-30 Experten | 3-12 | 2-6 | 2-8 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Bucketed Backlog, Relative Estimates, Split Candidates | Prioritized Assumption List, Test Plan, Results Report | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing | ExperimentsValidationDiscoveryAssumptions | StrategyDecisionAssumptionsHypothesis |