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| Criterion |  Growth Funnel Analysis |  UX Research HEART Framework |  Growth Pirate Metrics AARRR |  Growth Flywheel |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | 120 min initial, dann laufend | 1-2 h Setup, laufend | 60-120 min |
Participantsdifferent | 1-5 | 3-6 | 2-8 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | HEART-GSM Table, Dashboard | AARRR funnel, Metric baseline, Experiment backlog | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog |
Tagsno overlap | AnalyticsConversionGrowth | MetricsUX researchMeasurementSatisfaction | GrowthMetricsExperiments | GrowthRetentionConversion |