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| Criterion | ![]() Growth North Star Metric | ![]() Product Discovery Test Card | ![]() Product Discovery Hypothesis Prioritization Canvas | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | Low | Medium | High |
Timedifferent | 1-2 h | 20-35 min | 60-90 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | Test Card with a pre-set threshold | Prioritization Canvas, Hypothesis Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthMetricsAlignmentRetention | ExperimentsValidationDiscoveryHypothesis | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |



