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| Criterion |  Product Strategy DIBB |  Agile Affinity Estimation |  Decision Making Constraint Analysis |  Agile Bucket System |
|---|---|---|---|---|
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 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 1-2 h | 30-90 min | 30-90 min | 30-90 min |
Participantsdifferent | 2-8 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Affinity Size Map, Grouped Estimates, Unclear Items | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | EstimationBacklogRelative sizing | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing |