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| Criterion |  Operations Causal Factor Analysis |  DevOps Incident Timeline Analysis |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 2-6 h | 60-180 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-10 | 3-10 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | CausalityIncidentRoot causeTimeline | IncidentTimelineSite Reliability Engineering | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |