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| Criterion | ![]() Growth Funnel Analysis | ![]() Business Strategy GAP Analysis | ![]() Growth A/B Testing | ![]() Product Strategy Counter Metrics |
|---|---|---|---|---|
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. | GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-3 h | 1-3 h | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-5 | 2-8 | 1-6 | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Gap Matrix, Action Plan, Risk Notes | Experiment results, Decision log, Learning summary | Counter Metric List, Guardrail Definitions |
Tagsno overlap | AnalyticsConversionGrowth | StrategyAnalysisPlanning | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementStrategyExperiments |



