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| Criterion |  Delivery Monte Carlo Forecasting |  Business Strategy Ansoff Matrix |  Growth A/B Testing |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. | 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. | 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 | High | Low | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 1-8 | 2-8 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Ansoff Matrix, Growth Options, Risk Notes | Experiment results, Decision log, Learning summary | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | ForecastingFlowDelivery | GrowthStrategyMarketPortfolio | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy |