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| Criterion |  Decision Making Delphi Method |  Growth Hooked Model |  Product Strategy Counter Metrics |  Growth A/B Testing |
|---|---|---|---|---|
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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. | 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. |
Complexitydifferent | High | Medium | Low | High |
Timedifferent | 1-4 Wochen | Multiple workshops over several weeks | 30-60 min | 1-4 Wochen |
Participantsdifferent | 6-30 Experten | 2-8 | 2-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Hooked loop, Trigger map, Reward design, Ethics check | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | GrowthBehaviorRetention | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |