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| Criterion |  Growth Funnel Analysis |  Product Strategy Counter Metrics |  Product Strategy DIBB |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
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. | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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 | Medium | Low | Low | Medium |
Timedifferent | 1-3 h | 30-60 min | 1-2 h | 1-2 h Setup, laufend |
Participantsdifferent | 1-5 | 2-6 | 2-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Counter Metric List, Guardrail Definitions | DIBB document, Belief list, Bet list, Learning report | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | AnalyticsConversionGrowth | MetricsMeasurementStrategyExperiments | StrategyDecisionAssumptionsHypothesis | GrowthMetricsExperiments |