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| Criterion |  Agile Scrum |  Decision Making Decision Tree |  Decision Making Constraint Analysis |  Agile Acceptance Criteria Workshop |
|---|---|---|---|---|
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. | 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 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 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-4 Wochen je Sprint, laufend | 30-90 min | 30-90 min | 20-40 min pro Story |
Participantsdifferent | 3-10 (Scrum Team) | 1-6 | 2-8 | 3-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Decision Tree, Option Map, Assumption List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Acceptance Criteria, Story Update |
Tagsno overlap | AgileIterationCadence | DecisionTreeOptions | ConstraintsDecisionPlanningOptions | AgileRequirementsRefinementBehavior-Driven Development |