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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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.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
HighMediumHighHigh
Timedifferent
2-4 h30-90 minHalf day1-4 Wochen
Participantsdifferent
3-81-63-126-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshopAsync
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsDecision Tree, Option Map, Assumption ListLeverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
DecisionTreeOptions
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
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