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Selected:Incident Timeline AnalysisAssumption MappingFailure Mode and Effects AnalysisCausal Factor Analysis
| Criterion |  DevOps Incident Timeline Analysis |  Product Discovery Assumption Mapping |  Operations Failure Mode and Effects Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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 | High | High |
Timedifferent | 60-180 min | 45-60 min | 2-6 h | 2-6 h |
Participantsdifferent | 3-10 | 2-8 | 3-10 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Assumption map, Test backlog, Risk ranking | FMEA Table, Risk Priority, Mitigation Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | IncidentTimelineSite Reliability Engineering | AssumptionsRiskExperimentsValidation | RiskQualityOperationsRoot cause | CausalityIncidentRoot causeTimeline |