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| Criterion |  Engineering Goal Question Metric |  Innovation Lean Startup |  Product Strategy Counter Metrics |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 90-180 min | Wochen bis Monate je Lernzyklus | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 2-8 | 2-6 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | GQM Table, Metric Profiles | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsMeasurementEngineeringAlignment | LeanStartupValidationMVP | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |