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| Criterion | ![]() UX Research Diary Study | ![]() DevOps Game Day | ![]() Operations Failure Mode and Effects Analysis | ![]() Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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. | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 1-4 Wochen | Halber Tag | 2-6 h | 1-3 h |
Participantsdifferent | 5-20 | 5-20 | 3-10 | 2-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Simulation Notes, Gaps List, Updated Runbooks | FMEA Table, Risk Priority, Mitigation Actions | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | UX researchTrackingBehavior | ResilienceOperationsIncident | RiskQualityOperationsRoot cause | Root causeTreeIncidentQuality |



