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| Criterion |  Agile Ideal Days |  Decision Making Delphi Method |  Growth A/B Testing |  Business Strategy Ansoff Matrix |
|---|---|---|---|---|
Purposedifferent | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | 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 | 15-60 min | 1-4 Wochen | 1-4 Wochen | 45-90 min |
Participantsdifferent | 2-9 | 6-30 Experten | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Ansoff Matrix, Growth Options, Risk Notes |
Tagsno overlap | EstimationEffortAgile | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | GrowthStrategyMarketPortfolio |