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| Criterion |  Operations Bottleneck Analysis |  Product Strategy Counter Metrics |  Growth Pirate Metrics AARRR |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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. | 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. | 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 | Medium | Low | Medium | High |
Timedifferent | 1-3 h | 30-60 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Counter Metric List, Guardrail Definitions | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | FlowMeasurementConstraints | MetricsMeasurementStrategyExperiments | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |