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Criterion
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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
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.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.
Complexitydifferent
LowMediumHighMedium
Timedifferent
1-2 h1-2 h1-4 Wochen30-90 min
Participantsdifferent
2-83-106-30 Experten1-6
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportTOWS Matrix, Strategic Options, Priority ActionsExpert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption List
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
StrategyAnalysisOptions
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
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