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| Criterion |  Agile Specification by Example |  Agile Example Mapping |  Decision Making Constraint Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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. | 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. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 60-90 min pro Feature | 30-60 min | 30-90 min | 30-90 min |
Participantsdifferent | 3-6 | 3-7 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Example Table, Acceptance Tests | Example Map, Acceptance Criteria, Open Questions | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | AgileRequirementsExamplesBehavior-Driven Development | Behavior-Driven DevelopmentRequirementsExamplesRefinement | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |