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| Criterion | ![]() Growth Pirate Metrics AARRR | ![]() Growth Flywheel | ![]() Growth Funnel Analysis | ![]() Growth North Star Metric |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h Setup, laufend | 60-120 min | 1-3 h | 1-2 h |
Participantsdifferent | 2-8 | 3-8 | 1-5 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Funnel report, Drop-off analysis, Optimization hypotheses | North Star metric, Input metric tree, Measurement cadence |
Tags1 shared | GrowthMetricsExperiments | GrowthRetentionConversion | AnalyticsConversionGrowth | GrowthMetricsAlignmentRetention |



