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| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Competency Questions |  Decision Making Delphi Method |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
Purposedifferent | 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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Half day | 2-4 h | 1-4 Wochen | 2-4 h |
Participantsdifferent | 3-12 | 2-8 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Leverage Map, Action Strategy | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Expert Forecast, Consensus Range, Assumption Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | Systems thinkingChangeStrategy | OntologyKnowledge graphScopeRequirementsSemantic | ForecastingExpertsDecisionStrategy | Theory of ConstraintsSystems thinkingChange |