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| Criterion |  Growth Flywheel |  Operations ALPEN Method |  Product Discovery Fake Door Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Low | Medium | High |
Timedifferent | 60-120 min | 10-20 min daily | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-8 | 1 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Daily Plan, Time Estimates, Review Notes | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthRetentionConversion | PlanningTime managementProductivityOperations | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |