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| Criterion |  Decision Making Delphi Method |  Knowledge Modeling Event Modeling |  Growth A/B Testing |  Business Strategy Ansoff Matrix |
|---|---|---|---|---|
Purposedifferent | 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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 Wochen | 2-6 h | 1-4 Wochen | 45-90 min |
Participantsdifferent | 6-30 Experten | 2-8 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Event Model, UI Flow, Commands, Read Models | Experiment results, Decision log, Learning summary | Ansoff Matrix, Growth Options, Risk Notes |
Tagsno overlap | ForecastingExpertsDecisionStrategy | EventsBlueprintDomain-Driven DesignBehavior | ExperimentsGrowthAnalyticsValidation | GrowthStrategyMarketPortfolio |