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Criterion
Paper illustration for ABC Analysis
Operations
ABC Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.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
LowMediumLowHigh
Timedifferent
30-60 min30-90 min45-90 min1-4 Wochen
Participantsdifferent
1-51-62-86-30 Experten
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
ABC Classification, Focus Rules, Control ListDecision Tree, Option Map, Assumption ListAnsoff Matrix, Growth Options, Risk NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
PrioritizationOperationsPortfolio
DecisionTreeOptions
GrowthStrategyMarketPortfolio
ForecastingExpertsDecisionStrategy
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