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| Criterion |  Decision Making Decision Tree |  Agile Bucket System |  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 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 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 | Bucketed Backlog, Relative Estimates, Split Candidates | Effort Heatmap, Risk Signals, Discussion Targets | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | EstimationEffortRisk | ConstraintsDecisionPlanningOptions |