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| Criterion |  Decision Making Constraint Analysis |  Agile Bucket System |  Decision Making Decision Tree |  Agile Planning Poker |
|---|---|---|---|---|
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. | 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. | 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 30-90 min | 30-90 min | 30-90 min | 2-5 min je Item |
Participantsdifferent | 2-8 | 3-12 | 1-6 | 3-9 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Bucketed Backlog, Relative Estimates, Split Candidates | Decision Tree, Option Map, Assumption List | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | ConstraintsDecisionPlanningOptions | EstimationBacklogRelative sizing | DecisionTreeOptions | EstimationAgileRelative sizingTeam |