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| Criterion |  Operations Bottleneck Analysis |  Growth Pirate Metrics AARRR |  Growth Growth Experiment |  UX Research HEART Framework |
|---|---|---|---|---|
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. | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | 1-2 h Setup, laufend | 1-2 Wochen | 120 min initial, dann laufend |
Participantsdifferent | 3-8 | 2-8 | 1-6 | 3-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | AARRR funnel, Metric baseline, Experiment backlog | Experiment card, Result summary, Next bet | HEART-GSM Table, Dashboard |
Tagsno overlap | FlowMeasurementConstraints | GrowthMetricsExperiments | MarketingGrowthExperimentsLearning | MetricsUX researchMeasurementSatisfaction |