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| Criterion |  Agile NoEstimates |  Growth Flywheel |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | laufend | 60-120 min | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 2-12 | 3-8 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationForecastingFlow | GrowthRetentionConversion | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |