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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
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.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.When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.
Complexitydifferent
MediumHighLowLow
Timedifferent
30-90 min1-4 Wochen30-60 min45-90 min
Participantsdifferent
1-66-30 Experten2-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption NotesICE Table, Top Idea ListAnsoff Matrix, Growth Options, Risk Notes
Tagsno overlap
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
PrioritizationScoringGrowthDecision
GrowthStrategyMarketPortfolio
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