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| Criterion | ![]() Growth North Star Metric | ![]() Product Discovery MVP Test Matrix | ![]() Product Discovery Smoke Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-2 h | 45-75 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-8 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | Test Matrix, Test Plan | Interest Metrics, Conversion Signal, Learning Note | Completed Experiment Canvas, Success Metric |
Tagsno overlap | GrowthMetricsAlignmentRetention | ExperimentsValidationDiscoveryOptions | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryHypothesis |



