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