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| Criterion |  Growth A/B Testing |  Decision Making Wideband Delphi |  Decision Making Delphi Method |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | 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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 | High | High | High | Low |
Timedifferent | 1-4 Wochen | 1-4 h or multiple rounds | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-6 | 4-12 Experten | 6-30 Experten | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Estimate Range, Assumption Log, Expert Consensus Notes | Expert Forecast, Consensus Range, Assumption Notes | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationExpertsForecasting | ForecastingExpertsDecisionStrategy | MetricsMeasurementStrategyExperiments |