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| Criterion | ![]() Engineering Kanban | ![]() DevOps Incident Timeline Analysis | ![]() Delivery Value Stream Mapping | ![]() Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | 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 | Medium | High |
Timedifferent | Ongoing | 60-180 min | 1-3 h | 2-6 h |
Participantsdifferent | 2-12 | 3-10 | 4-10 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Current-state map, Future-state map, Bottleneck list | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | FlowVisual managementDelivery | IncidentTimelineSite Reliability Engineering | LeanFlowWasteDelivery | CausalityIncidentRoot causeTimeline |



