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| Criterion |  Growth Funnel Analysis |  Operations Time Blocking |  Product Discovery Smoke Test |  Operations ALPEN Method |
|---|---|---|---|---|
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. | With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 1-3 h | 15-30 min Planung, laufend | 1-5 Tage | 10-20 min daily |
Participantsdifferent | 1-5 | 1 | Nutzertraffic | 1 |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Blocked Calendar, Capacity View, Focus Plan | Interest Metrics, Conversion Signal, Learning Note | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | AnalyticsConversionGrowth | PlanningTime managementFocus | ValidationExperimentsDemandGrowth | PlanningTime managementProductivityOperations |