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| Criterion | ![]() Business Strategy Strategic, Tactical and Operational Planning | ![]() Growth North Star Metric | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | It places decisions and artifacts at the right level. Strategic planning clarifies direction, tactical planning translates it into programs, and operational planning steers concrete processes. | 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 90-180 min | 1-2 h | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 4-12 | 3-8 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Planning Levels Map, Cadence Model, Planning Artifact Inventory | North Star metric, Input metric tree, Measurement cadence | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | CadenceGovernanceExecution | GrowthMetricsAlignmentRetention | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



