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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Surveys method illustration showing its working structure
UX Research
Surveys
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
Purposedifferent
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.When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.
Complexitydifferent
HighMediumHighHigh
Timedifferent
1-4 Wochen3-14 TageHalf day2-4 h
Participantsdifferent
6-30 Experten50+3-123-8
Formatdifferent
AsyncAsyncWorkshopWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesSurvey Results, Charts, Segment InsightsLeverage Map, Action StrategyFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ForecastingExpertsDecisionStrategy
QuantitativeResearchValidation
Systems thinkingChangeStrategy
Theory of ConstraintsSystems thinkingChange
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