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Criterion
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 for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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
HighHighMediumLow
Timedifferent
1-4 Wochen2-4 h60-120 min1-2 h
Participantsdifferent
6-30 Experten3-82-82-8
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
Theory of ConstraintsSystems thinkingChange
Theory of ConstraintsAssumptionsSystems thinking
StrategyDecisionAssumptionsHypothesis
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