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| Criterion |  Decision Making Delphi Method |  Operations PDCA Cycle |  Business Strategy Ansoff Matrix |  Product Strategy DIBB |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | High | Low | Low | Low |
Timedifferent | 1-4 Wochen | 1 h bis mehrere Wochen | 45-90 min | 1-2 h |
Participantsdifferent | 6-30 Experten | 1-8 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Ansoff Matrix, Growth Options, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Continuous improvementLeanExperiments | GrowthStrategyMarketPortfolio | StrategyDecisionAssumptionsHypothesis |