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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for TOWS Matrix.
Business Strategy
TOWS Matrix
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.The TOWS Matrix connects internal strengths and weaknesses with external opportunities and threats into action-oriented strategies. It goes a step further than a pure stocktaking.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
30-90 min1-2 h1-2 h1-4 Wochen
Participantsdifferent
1-62-83-106-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning reportTOWS Matrix, Strategic Options, Priority ActionsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
StrategyAnalysisOptions
ForecastingExpertsDecisionStrategy
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