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| Criterion |  Agile Scrum |  Engineering Failure Scenario Analysis |  Decision Making Constraint Analysis |  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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 | Medium | Low | Medium |
Timedifferent | 1-4 Wochen je Sprint, laufend | 1-3 h | 30-90 min | 30-90 min |
Participantsdifferent | 3-10 (Scrum Team) | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Product Backlog, Sprint Backlog, Increment, Sprint Goal | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Tree, Option Map, Assumption List |
Tagsno overlap | AgileIterationCadence | FailureResilienceRisk | ConstraintsDecisionPlanningOptions | DecisionTreeOptions |