View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Growth A/B Testing |  Growth North Star Metric |  Growth Flywheel |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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 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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-2 h | 60-120 min | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | 3-8 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | North Star metric, Input metric tree, Measurement cadence | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | AARRR funnel, Metric baseline, Experiment backlog |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | GrowthMetricsAlignmentRetention | GrowthRetentionConversion | GrowthMetricsExperiments |