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| Criterion |  Decision Making Force Field Analysis |  Growth Growth Experiment |  Product Strategy KPI Tree |  Engineering Goal Question Metric |
|---|---|---|---|---|
Purposedifferent | 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 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 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. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45-90 min | 1-2 Wochen | 90-180 min initial, dann laufend | 90-180 min |
Participantsdifferent | 3-12 | 1-6 | 3-8 | 3-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Experiment card, Result summary, Next bet | KPI Tree, Owner List | GQM Table, Metric Profiles |
Tagsno overlap | ChangeDecisionStrategy | MarketingGrowthExperimentsLearning | MetricsStrategyAlignmentMeasurement | MetricsMeasurementEngineeringAlignment |