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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-2 h30-90 min30-90 min30-90 min
Participantsdifferent
3-123-122-81-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsPostmortem Doc, Action Items, TimelineConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
Systems thinkingTradeoffsLeadership
Site Reliability EngineeringIncidentLearningReliability
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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