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Criterion
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
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
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.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.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit 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
HighHighMediumHigh
Timedifferent
2-4 h1-4 Wochen45-90 minHalf day
Participantsdifferent
3-86-30 Experten2-53-12
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption NotesA3 Report, Action Plan, Root Cause AnalysisLeverage Map, Action Strategy
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
LeanProblem solvingCoachingOperations
Systems thinkingChangeStrategy
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