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| Criterion |  Agile Bucket System |  Product Strategy DIBB |  Decision Making Force Field Analysis |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Medium | Low | Low | Medium |
Timedifferent | 30-90 min | 1-2 h | 45-90 min | 30-90 min |
Participantsdifferent | 3-12 | 2-8 | 3-12 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy | EstimationBacklogRelative sizing |