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| Criterion |  Decision Making Constraint Analysis |  Agile Bucket System |  Product Discovery Assumption Mapping |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | Medium |
Timedifferent | 30-90 min | 30-90 min | 45-60 min | 30-90 min |
Participantsdifferent | 2-8 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Bucketed Backlog, Relative Estimates, Split Candidates | Assumption map, Test backlog, Risk ranking | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing | AssumptionsRiskExperimentsValidation | EstimationBacklogRelative sizing |