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| Criterion |  Systems Thinking Future Reality Tree |  Growth Flywheel |  Decision Making Delphi Method |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | 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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 2-4 h | 60-120 min | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 3-8 | 3-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | GrowthRetentionConversion | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy |