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| Criterion |  Decision Making Constraint Analysis |  Decision Making Decision Tree |  Agile Bucket System |  Decision Making Pre-Mortem |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30-90 min | 30-90 min | 30-90 min | 20–45 min |
Participantsdifferent | 2-8 | 1-6 | 3-12 | Small cross-functional group |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List | Bucketed Backlog, Relative Estimates, Split Candidates | Risk list, Mitigation plan, Assumption log |
Tagsno overlap | ConstraintsDecisionPlanningOptions | DecisionTreeOptions | EstimationBacklogRelative sizing | RiskDecisionFailurePlanning |