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| Criterion |  Product Strategy DIBB |  Agile Bucket System |  Decision Making Wideband Delphi |  Agile Affinity Estimation |
|---|---|---|---|---|
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 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. | 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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 30-90 min | 1-4 h or multiple rounds | 30-90 min |
Participantsdifferent | 2-8 | 3-12 | 4-12 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Bucketed Backlog, Relative Estimates, Split Candidates | Estimate Range, Assumption Log, Expert Consensus Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | EstimationBacklogRelative sizing | EstimationExpertsForecasting | EstimationBacklogRelative sizing |