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| Criterion |  DevOps Game Day |  Decision Making Delphi Method |  Growth A/B Testing |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | 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. | 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 | High | High | Low |
Timedifferent | Halber Tag | 1-4 Wochen | 1-4 Wochen | 30-60 min |
Participantsdifferent | 5-20 | 6-30 Experten | 1-6 | 2-6 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ResilienceOperationsIncident | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementStrategyExperiments |