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| Criterion |  Engineering Failure Scenario Analysis |  Product Strategy Counter Metrics |  Growth A/B Testing |  Product Strategy KPI Tree |
|---|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 h | 30-60 min | 1-4 Wochen | 90-180 min initial, dann laufend |
Participantsdifferent | 3-8 | 2-6 | 1-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary | KPI Tree, Owner List |
Tagsno overlap | FailureResilienceRisk | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement |