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Criterion
Paper radar with five axes, two current and target profiles, and evidence cards beside each dimension.
Decision Making
Radar
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
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Purposedifferent
When capabilities, maturity levels, or market positions need to be compared across several dimensions, overview is easily lost. Radar brings different characteristics into a shared picture and shows patterns faster than tables do.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.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.
Complexitydifferent
MediumHighMediumLow
Timedifferent
1-2 h1-4 Wochen30-90 min45-90 min
Participantsdifferent
2-106-30 Experten1-62-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Radar Map, Capability Scores, Action AreasExpert Forecast, Consensus Range, Assumption NotesDecision Tree, Option Map, Assumption ListAnsoff Matrix, Growth Options, Risk Notes
Tagsno overlap
AssessmentPortfolioCapability
ForecastingExpertsDecisionStrategy
DecisionTreeOptions
GrowthStrategyMarketPortfolio
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