View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling Teach-back |  Systems Thinking Future Reality Tree |  Decision Making Delphi Method |  Systems Thinking Leverage Points |
|---|---|---|---|---|
Purposedifferent | Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations. | 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. | 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 | Low | High | High | High |
Timedifferent | 5-20 min | 2-4 h | 1-4 Wochen | Half day |
Participantsdifferent | 2-8 | 3-8 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Understanding Check, Clarification Notes, Learning Gaps | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | Leverage Map, Action Strategy |
Tagsno overlap | LearningUnderstandingCommunication | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | Systems thinkingChangeStrategy |