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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
HighMediumHighMedium
Timedifferent
2-4 h10-30 min je Item1-4 Wochen15-60 min je Zyklus
Participantsdifferent
3-81-86-30 Experten1-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsThree-Point Estimate, Risk Range, Assumption NotesExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
EstimationUncertaintyForecasting
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
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