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| Criterion | ![]() Systems Thinking Polarity Mapping | ![]() Systems Thinking Future Reality Tree | ![]() Decision Making OODA Loop | ![]() 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | 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 | Medium | High | Medium | Medium |
Timedifferent | 1-2 h | 2-4 h | 15-60 min je Zyklus | 45-90 min |
Participantsdifferent | 3-12 | 3-8 | 1-8 | 2-8 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Situation Assessment, Decision Loop, Action Updates | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | Systems thinkingTradeoffsLeadership | Theory of ConstraintsSystems thinkingChange | DecisionChangeLearningStrategy | DecisionCriteriaScoringTradeoffs |



