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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for ALPEN Method
Operations
ALPEN Method
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.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.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
MediumLowMedium
Timedifferent
1-2 h10-20 min daily30-90 min
Participantsdifferent
3-1211-6
Formatdifferent
WorkshopAsyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDaily Plan, Time Estimates, Review NotesDecision Tree, Option Map, Assumption List
Tagsno overlap
Systems thinkingTradeoffsLeadership
PlanningTime managementProductivityOperations
DecisionTreeOptions
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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