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Criterion
Paper illustration of a four-quadrant grid with tasks sorted by importance and urgency and translated into actions.
Decision Making
Eisenhower Matrix
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
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Purposedifferent
It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped.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.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
LowHighHighHigh
Timedifferent
15-30 min2-4 h1-4 WochenHalf day
Participantsdifferent
1-63-86-30 Experten3-12
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Eisenhower Matrix, Action List, Delegation NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption NotesLeverage Map, Action Strategy
Tagsno overlap
PrioritizationFocusTasks
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
Systems thinkingChangeStrategy
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