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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 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.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
MediumMediumHigh
Timedifferent
1-2 h30-90 min2-6 h
Participantsdifferent
3-121-63-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDecision Tree, Option Map, Assumption ListEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingTradeoffsLeadership
DecisionTreeOptions
CausalityIncidentRoot causeTimeline
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis