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| Criterion |  Decision Making Delphi Method |  Operations PDCA Cycle |  Growth A/B Testing |  Product Strategy Counter Metrics |
|---|---|---|---|---|
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 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. |
Complexitydifferent | High | Low | High | Low |
Timedifferent | 1-4 Wochen | 1 h bis mehrere Wochen | 1-4 Wochen | 30-60 min |
Participantsdifferent | 6-30 Experten | 1-8 | 1-6 | 2-6 |
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 | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ForecastingExpertsDecisionStrategy | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementStrategyExperiments |