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| Criterion |  Agile Affinity Estimation |  DevOps Incident Timeline Analysis |  Operations 5 Whys |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | For an incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 30-90 min | 60-180 min | 15-30 min | 2-6 h |
Participantsdifferent | 3-12 | 3-10 | 2-6 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Root cause notes, Countermeasures | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | EstimationBacklogRelative sizing | IncidentTimelineSite Reliability Engineering | Root causeIncidentLeanProblem solving | CausalityIncidentRoot causeTimeline |