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| Criterion |  Product Strategy Impact Mapping |  Growth Funnel Analysis |  Operations ALPEN Method |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Medium | Low | High |
Timedifferent | 45-90 min | 1-3 h | 10-20 min daily | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-5 | 1 | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Funnel report, Drop-off analysis, Optimization hypotheses | Daily Plan, Time Estimates, Review Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | AnalyticsConversionGrowth | PlanningTime managementProductivityOperations | ExperimentsGrowthAnalyticsValidation |