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| Criterion |  DevOps ChatOps |  Agile NoEstimates |  Operations MORT Analysis |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 | Ongoing | laufend | Mehrere Tage bis Wochen | 2-6 h |
Participantsdifferent | 2-20 | 2-12 | 2-6 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Chat Transcript, Action Log, Automations | Throughput Data, Flow Forecast, Slicing Rules | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | CollaborationEngineeringIncident | EstimationForecastingFlow | Root causeSafetySystemicIncident | CausalityIncidentRoot causeTimeline |