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Criterion
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.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.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
MediumMediumMediumHigh
Timedifferent
1-3 h30-90 min60-180 min2-6 h
Participantsdifferent
4-103-123-103-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Current-state map, Future-state map, Bottleneck listPostmortem Doc, Action Items, TimelineIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
LeanFlowWasteDelivery
Site Reliability EngineeringIncidentLearningReliability
IncidentTimelineSite Reliability Engineering
CausalityIncidentRoot causeTimeline
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