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| Criterion | ![]() Innovation Lean Startup | ![]() Growth North Star Metric | ![]() Engineering Goal Question Metric | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible. | 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. | 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 | Medium | High |
Timedifferent | Wochen bis Monate je Lernzyklus | 1-2 h | 90-180 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 3-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | North Star metric, Input metric tree, Measurement cadence | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanStartupValidationMVP | GrowthMetricsAlignmentRetention | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |



