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| Criterion |  Growth Funnel Analysis |  Decision Making Delphi Method |  Growth Growth Experiment |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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 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 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 | Medium | High | Medium | Low |
Timedifferent | 1-3 h | 1-4 Wochen | 1-2 Wochen | 30-60 min |
Participantsdifferent | 1-5 | 6-30 Experten | 1-6 | 2-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Expert Forecast, Consensus Range, Assumption Notes | Experiment card, Result summary, Next bet | Counter Metric List, Guardrail Definitions |
Tagsno overlap | AnalyticsConversionGrowth | ForecastingExpertsDecisionStrategy | MarketingGrowthExperimentsLearning | MetricsMeasurementStrategyExperiments |