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| Criterion |  Growth Growth Experiment |  Decision Making Delphi Method |  Product Strategy KPI Tree |  Growth North Star Metric |
|---|---|---|---|---|
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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-2 Wochen | 1-4 Wochen | 90-180 min initial, dann laufend | 1-2 h |
Participantsdifferent | 1-6 | 6-30 Experten | 3-8 | 3-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment card, Result summary, Next bet | Expert Forecast, Consensus Range, Assumption Notes | KPI Tree, Owner List | North Star metric, Input metric tree, Measurement cadence |
Tagsno overlap | MarketingGrowthExperimentsLearning | ForecastingExpertsDecisionStrategy | MetricsStrategyAlignmentMeasurement | GrowthMetricsAlignmentRetention |