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| Criterion |  Decision Making Decision Tree |  Agile Affinity Estimation |  Agile Ideal Days |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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 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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 30-90 min | 15-60 min | 30-90 min |
Participantsdifferent | 1-6 | 3-12 | 2-9 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Affinity Size Map, Grouped Estimates, Unclear Items | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | EstimationEffortAgile | ConstraintsDecisionPlanningOptions |