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| Criterion |  UX Research HEART Framework |  DevOps Blameless Postmortem |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 120 min initial, dann laufend | 30-90 min | 2-6 h | 15-30 min |
Participantsdifferent | 3-6 | 3-12 | 3-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | HEART-GSM Table, Dashboard | Postmortem Doc, Action Items, Timeline | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | Site Reliability EngineeringIncidentLearningReliability | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |