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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.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.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
HighMediumHighHigh
Timedifferent
2-4 h2-4 h1-4 WochenHalf day
Participantsdifferent
3-82-86-30 Experten3-12
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixExpert Forecast, Consensus Range, Assumption NotesLeverage Map, Action Strategy
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
OntologyKnowledge graphScopeRequirementsSemantic
ForecastingExpertsDecisionStrategy
Systems thinkingChangeStrategy
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