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| Criterion |  Decision Making Delphi Method |  Operations PDCA Cycle |  Business Strategy Ansoff Matrix |  Growth A/B Testing |
|---|---|---|---|---|
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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 1-4 Wochen | 1 h bis mehrere Wochen | 45-90 min | 1-4 Wochen |
Participantsdifferent | 6-30 Experten | 1-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Ansoff Matrix, Growth Options, Risk Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Continuous improvementLeanExperiments | GrowthStrategyMarketPortfolio | ExperimentsGrowthAnalyticsValidation |