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| Criterion |  Growth Funnel Analysis |  Growth Growth Experiment |  Decision Making Force Field Analysis |  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 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Medium | Low | Low |
Timedifferent | 1-3 h | 1-2 Wochen | 45-90 min | 30-60 min |
Participantsdifferent | 1-5 | 1-6 | 3-12 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment card, Result summary, Next bet | Force Field Map, Change Levers, Risk Notes | Counter Metric List, Guardrail Definitions |
Tagsno overlap | AnalyticsConversionGrowth | MarketingGrowthExperimentsLearning | ChangeDecisionStrategy | MetricsMeasurementStrategyExperiments |