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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-2 h1-4 Wochen45-90 min45-90 min
Participantsdifferent
3-126-30 Experten2-52-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsExpert Forecast, Consensus Range, Assumption NotesA3 Report, Action Plan, Root Cause AnalysisDecision Matrix, Scoring Rationale, Selected Option
Tagsno overlap
Systems thinkingTradeoffsLeadership
ForecastingExpertsDecisionStrategy
LeanProblem solvingCoachingOperations
DecisionCriteriaScoringTradeoffs
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