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| Criterion |  Systems Thinking Future Reality Tree |  Growth Hooked Model |  Decision Making Delphi Method |  Systems Thinking Leverage Points |
|---|---|---|---|---|
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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 2-4 h | Multiple workshops over several weeks | 1-4 Wochen | Half day |
Participantsdifferent | 3-8 | 2-8 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Hooked loop, Trigger map, Reward design, Ethics check | Expert Forecast, Consensus Range, Assumption Notes | Leverage Map, Action Strategy |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | GrowthBehaviorRetention | ForecastingExpertsDecisionStrategy | Systems thinkingChangeStrategy |