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| Criterion |  Decision Making Delphi Method |  UX Research Affinity Diagramming |  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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | 45–90 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 6-30 Experten | 3-10 | 1-6 | 2-6 |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ForecastingExpertsDecisionStrategy | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementStrategyExperiments |