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| Criterion |  Operations ALPEN Method |  Product Strategy Impact Mapping |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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. | 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 | Low | Medium | Medium | High |
Timedifferent | 10-20 min daily | 45-90 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Impact Map, Outcome Hypotheses, Delivery Options | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | PlanningTime managementProductivityOperations | OutcomesStrategyBehaviorPlanning | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |