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| Criterion |  Delivery Monte Carlo Forecasting |  Business Strategy Ansoff Matrix |  Product Strategy Counter Metrics |  Growth A/B Testing |
|---|---|---|---|---|
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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 2-8 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Ansoff Matrix, Growth Options, Risk Notes | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tagsno overlap | ForecastingFlowDelivery | GrowthStrategyMarketPortfolio | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |