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Selected:Causal Factor AnalysisAssumption MappingRoot Cause AnalysisFailure Mode and Effects Analysis
| Criterion |  Operations Causal Factor Analysis |  Product Discovery Assumption Mapping |  Operations Root Cause Analysis |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 2-6 h | 45-60 min | 1-4 h | 2-6 h |
Participantsdifferent | 3-10 | 2-8 | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Assumption map, Test backlog, Risk ranking | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | CausalityIncidentRoot causeTimeline | AssumptionsRiskExperimentsValidation | Root causeProblem solvingQualityIncident | RiskQualityOperationsRoot cause |