methodatlas
Compare

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 Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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.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.
Complexitydifferent
MediumHighHighHigh
Timedifferent
30-90 minHalf day2-4 h1-4 Wochen
Participantsdifferent
1-63-123-86-30 Experten
Formatdifferent
Workshop + asyncWorkshopWorkshopAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListLeverage Map, Action StrategyFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
Systems thinkingChangeStrategy
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
Add more methods