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| Criterion | ![]() Growth Growth Experiment | ![]() Decision Making Delphi Method | ![]() Product Strategy Counter Metrics | ![]() Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-2 Wochen | 1-4 Wochen | 30-60 min | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | 6-30 Experten | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment card, Result summary, Next bet | Expert Forecast, Consensus Range, Assumption Notes | Counter Metric List, Guardrail Definitions | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | MarketingGrowthExperimentsLearning | ForecastingExpertsDecisionStrategy | MetricsMeasurementStrategyExperiments | GrowthMetricsExperiments |



