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| Criterion |  Growth Growth Experiment |  Decision Making Force Field Analysis |  Decision Making Delphi Method |  Product Strategy Counter Metrics |
|---|---|---|---|---|
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. | 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 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-2 Wochen | 45-90 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-6 | 3-12 | 6-30 Experten | 2-6 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Experiment card, Result summary, Next bet | Force Field Map, Change Levers, Risk Notes | Expert Forecast, Consensus Range, Assumption Notes | Counter Metric List, Guardrail Definitions |
Tagsno overlap | MarketingGrowthExperimentsLearning | ChangeDecisionStrategy | ForecastingExpertsDecisionStrategy | MetricsMeasurementStrategyExperiments |