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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.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
MediumHighLowHigh
Timedifferent
1-2 h2-6 h15-45 min2-6 h
Participantsdifferent
3-123-81-33-10
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsCurrent Reality Tree, Core Problems, Intervention IdeasADR File, Decision Log, RationaleEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingTradeoffsLeadership
Systems thinkingRoot causeConstraintsCausality
ArchitectureRationaleDocumentationGovernance
CausalityIncidentRoot causeTimeline
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