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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Incident Timeline Analysis.
DevOps
Incident Timeline Analysis
Paper illustration for Learning Review.
Operations
Learning Review
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 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.After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights.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 h60-180 min1-3 h2-6 h
Participantsdifferent
3-123-103-103-10
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsIncident Timeline, Evidence Log, Delay Analysis, Improvement ActionsLearning Review Notes, System Factors, Improvement ActionsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingTradeoffsLeadership
IncidentTimelineSite Reliability Engineering
LearningRetrospectiveIncidentOperations
CausalityIncidentRoot causeTimeline
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