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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
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
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 single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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.
Complexitysame
HighHighHighHigh
Timedifferent
Half day1-4 h or multiple rounds2-4 h1-4 Wochen
Participantsdifferent
3-124-12 Experten3-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshopAsync
Outputdifferent
Leverage Map, Action StrategyEstimate Range, Assumption Log, Expert Consensus NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
Systems thinkingChangeStrategy
EstimationExpertsForecasting
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
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