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| Criterion |  Agile Scrum |  Decision Making Constraint Analysis |  Agile Example Mapping |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | When a team needs to work in a fixed delivery rhythm, it stabilizes cadence, responsibility, and feedback loops. It makes collaboration reliable across sprint boundaries. | 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. | 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 | 1-4 Wochen je Sprint, laufend | 30-90 min | 30-60 min | 30-90 min |
Participantsdifferent | 3-10 (Scrum Team) | 2-8 | 3-7 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Example Map, Acceptance Criteria, Open Questions | Decision Tree, Option Map, Assumption List |
Tagsno overlap | AgileIterationCadence | ConstraintsDecisionPlanningOptions | Behavior-Driven DevelopmentRequirementsExamplesRefinement | DecisionTreeOptions |