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| Criterion | ![]() Knowledge Modeling Competency Questions | ![]() Systems Thinking Leverage Points | ![]() Decision Making Delphi Method | ![]() Systems Thinking Future Reality Tree |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Medium | High | High | High |
Timedifferent | 2-4 h | Half day | 1-4 Wochen | 2-4 h |
Participantsdifferent | 2-8 | 3-12 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Leverage Map, Action Strategy | Expert Forecast, Consensus Range, Assumption Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | Systems thinkingChangeStrategy | ForecastingExpertsDecisionStrategy | Theory of ConstraintsSystems thinkingChange |



