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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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
1-2 h1-3 h60-180 min2-6 h
Participantsdifferent
3-123-83-103-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingTradeoffsLeadership
FlowMeasurementConstraints
IncidentTimelineSite Reliability Engineering
CausalityIncidentRoot causeTimeline
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