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Criterion
Paper illustration of Futures Wheel with its method-specific working model.
Systems Thinking
Futures Wheel
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
The Futures Wheel helps explore the consequences of a decision, a trend, or a strategic move in a structured way. It makes visible which first, second, and third-order effects could arise from an event.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.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumHighHighLow
Timedifferent
60-120 min1-4 Wochen2-4 h1-2 h
Participantsdifferent
3-106-30 Experten3-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Futures Wheel, Consequence Chains, Strategic SignalsExpert Forecast, Consensus Range, Assumption NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForesightSystems thinkingSignals
ForecastingExpertsDecisionStrategy
Theory of ConstraintsSystems thinkingChange
StrategyDecisionAssumptionsHypothesis
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