View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Systems Thinking Future Reality Tree | ![]() Knowledge Modeling Competency Questions | ![]() 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. | 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. | 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 | 2-4 h | 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 | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Expert Forecast, Consensus Range, Assumption Notes | Leverage Map, Action Strategy |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | OntologyKnowledge graphScopeRequirementsSemantic | ForecastingExpertsDecisionStrategy | Systems thinkingChangeStrategy |



