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| Criterion |  Decision Making Decision Tree |  Agile Bucket System |  Decision Making Constraint Analysis |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 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 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 | Medium | Low | Medium |
Timesame | 30-90 min | 30-90 min | 30-90 min | 30-90 min |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Bucketed Backlog, Relative Estimates, Split Candidates | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing |