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| Criterion |  Decision Making Decision Tree |  Agile Affinity Estimation |  Facilitation Dot Estimation |  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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 | 5-20 min | 30-90 min |
Participantsdifferent | 1-6 | 3-12 | 3-20 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Affinity Size Map, Grouped Estimates, Unclear Items | Effort Heatmap, Risk Signals, Discussion Targets | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | EstimationEffortRisk | ConstraintsDecisionPlanningOptions |