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| Criterion | ![]() Growth North Star Metric | ![]() Product Discovery Experiment Canvas | ![]() Product Strategy Counter Metrics | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | 1-2 h | 30-60 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-8 | 1-5 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | North Star metric, Input metric tree, Measurement cadence | Completed Experiment Canvas, Success Metric | Counter Metric List, Guardrail Definitions | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | GrowthMetricsAlignmentRetention | ExperimentsValidationDiscoveryHypothesis | MetricsMeasurementStrategyExperiments | ValidationExperimentsDemandDiscovery |



