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| Criterion |  Decision Making Constraint Analysis |  UX Research Tree Testing |  Engineering Failure Scenario Analysis |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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 navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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. | 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 | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-2 Tage | 1-3 h | 30-90 min |
Participantsdifferent | 2-8 | Based on research question | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Findability Metrics, Path Analysis, Revised IA | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Decision Tree, Option Map, Assumption List |
Tagsno overlap | ConstraintsDecisionPlanningOptions | Information architectureNavigationFindability | FailureResilienceRisk | DecisionTreeOptions |