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| Criterion |  Growth Flywheel |  Decision Making Decision Tree |  Decision Making OODA Loop |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 60-120 min | 30-90 min | 15-60 min je Zyklus | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-6 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Decision Tree, Option Map, Assumption List | Situation Assessment, Decision Loop, Action Updates | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | GrowthRetentionConversion | DecisionTreeOptions | DecisionChangeLearningStrategy | ForecastingExpertsDecisionStrategy |