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| Criterion |  Decision Making Decision Tree |  Agile Bucket System |  Decision Making Decision Framing Workshop |  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 a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-90 min | 30-90 min | 60-120 min | 30-90 min |
Participantsdifferent | 1-6 | 3-12 | 4-10 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Bucketed Backlog, Relative Estimates, Split Candidates | Decision Frame, Decision Question, Criteria List, Evidence Plan | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | Decision framingAlignmentCriteriaOptions | EstimationBacklogRelative sizing |