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| Criterion |  Growth A/B Testing |  Decision Making Delphi Method |  Decision Making Argument Mapping |  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. | 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 statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | Medium | Low |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 1-3 h | 30-60 min |
Participantsdifferent | 1-6 | 6-30 Experten | 1-8 | 2-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Expert Forecast, Consensus Range, Assumption Notes | Argument Map, Evidence Gaps, Decision Rationale | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy | SensemakingDecisionRationale | MetricsMeasurementStrategyExperiments |