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| Criterion | ![]() Knowledge Modeling Domain Storytelling | ![]() Decision Making Delphi Method | ![]() Growth A/B Testing | ![]() Business Strategy Ansoff Matrix |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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 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 | Low | High | High | Low |
Timedifferent | 1-2 h | 1-4 Wochen | 1-4 Wochen | 45-90 min |
Participantsdifferent | 2-8 | 6-30 Experten | 1-6 | 2-8 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Ansoff Matrix, Growth Options, Risk Notes |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | GrowthStrategyMarketPortfolio |



