View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Decision Making Decision Tree |  Systems Thinking Future Reality Tree |  Decision Making Delphi Method |  Decision Making OODA Loop |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 30-90 min | 2-4 h | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 1-6 | 3-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | DecisionTreeOptions | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy |