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| Criterion |  Operations PDCA Cycle |  Product Strategy DIBB |  Decision Making Delphi Method |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 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 | Low | Low | High | Low |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-8 | 2-8 | 6-30 Experten | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Counter Metric List, Guardrail Definitions |
Tagsno overlap | Continuous improvementLeanExperiments | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | MetricsMeasurementStrategyExperiments |