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Criterion
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
A/B Testing workspace showing the question, observations, and next decision.
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.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 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
MediumMediumHigh
Timedifferent
1-2 hWochen bis Monate je Lernzyklus1-4 Wochen
Participantsdifferent
3-82-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
North Star metric, Input metric tree, Measurement cadenceHypothesis list, MVPs, Learning reports, Pivot or persevere decisionExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthMetricsAlignmentRetention
LeanStartupValidationMVP
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

A paper-based illustration representing Pirate Metrics (AARRR) with its core stages and visible working result.
Growth
Pirate Metrics AARRR
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Five-Minute VC Check with its method-specific working model.
Business Strategy
5-Minuten VC-Check
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping