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| Criterion |  Agile Scrum |  Decision Making Decision Tree |  Agile Specification by Example |  Decision Making Constraint Analysis |
|---|---|---|---|---|
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 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 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-4 Wochen je Sprint, laufend | 30-90 min | 60-90 min pro Feature | 30-90 min |
Participantsdifferent | 3-10 (Scrum Team) | 1-6 | 3-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Decision Tree, Option Map, Assumption List | Example Table, Acceptance Tests | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | AgileIterationCadence | DecisionTreeOptions | AgileRequirementsExamplesBehavior-Driven Development | ConstraintsDecisionPlanningOptions |