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| Criterion |  Decision Making Decision Tree |  Agile Acceptance Criteria Workshop |  Decision Making Constraint Analysis |  Agile Example Mapping |
|---|---|---|---|---|
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 story needs clear checkpoints before implementation, it sharpens expectation and scope together. It sorts work by value, risk, and delivery ability. The result is captured as Acceptance Criteria and a Story Update. | 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 story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 30-90 min | 20-40 min pro Story | 30-90 min | 30-60 min |
Participantsdifferent | 1-6 | 3-6 | 2-8 | 3-7 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Decision Tree, Option Map, Assumption List | Acceptance Criteria, Story Update | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | DecisionTreeOptions | AgileRequirementsRefinementBehavior-Driven Development | ConstraintsDecisionPlanningOptions | Behavior-Driven DevelopmentRequirementsExamplesRefinement |