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| Criterion |  UX Research Diary Study |  Decision Making Decision Tree |  Engineering Failure Scenario Analysis |  Delivery RAID Log |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | 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. | 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 30-90 min | 1-3 h | 30 min Setup, dann laufend |
Participantsdifferent | 5-20 | 1-6 | 3-8 | 1-3 maintaining, briefing for everyone |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Decision Tree, Option Map, Assumption List | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | RAID Log, Status Report Source |
Tagsno overlap | UX researchTrackingBehavior | DecisionTreeOptions | FailureResilienceRisk | RiskTrackingStakeholdersGovernance |