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| Criterion | ![]() Decision Making Delphi Method | ![]() Operations PDCA Cycle | ![]() Growth A/B Testing | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 1-4 Wochen | 1 h bis mehrere Wochen | 1-4 Wochen | 45-60 min |
Participantsdifferent | 6-30 Experten | 1-8 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |



