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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality 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.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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.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
MediumLowHighHigh
Timedifferent
1-2 h5-20 min2-6 h2-6 h
Participantsdifferent
3-123-203-83-10
Formatdifferent
WorkshopWorkshopWorkshopWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsEffort Heatmap, Risk Signals, Discussion TargetsCurrent Reality Tree, Core Problems, Intervention IdeasEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingTradeoffsLeadership
EstimationEffortRisk
Systems thinkingRoot causeConstraintsCausality
CausalityIncidentRoot causeTimeline
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