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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 ALPEN Method
Operations
ALPEN Method
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.
Complexitydifferent
MediumMediumLow
Timedifferent
1-2 h30-90 min10-20 min daily
Participantsdifferent
3-121-61
Formatdifferent
WorkshopWorkshop + asyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDecision Tree, Option Map, Assumption ListDaily Plan, Time Estimates, Review Notes
Tagsno overlap
Systems thinkingTradeoffsLeadership
DecisionTreeOptions
PlanningTime managementProductivityOperations
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper notes move from an inbox to action, project and calendar collections.
Operations
Getting Things Done