View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Delivery Value Stream Mapping |  Growth Growth Experiment |  Delivery Monte Carlo Forecasting |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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 | High | High |
Timedifferent | 1-3 h | 1-2 Wochen | 30-90 min Setup, danach laufend | 1-4 Wochen |
Participantsdifferent | 4-10 | 1-6 | 1-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Experiment card, Result summary, Next bet | Forecast Percentiles, Throughput Dataset, Risk Communication | Experiment results, Decision log, Learning summary |
Tagsno overlap | LeanFlowWasteDelivery | MarketingGrowthExperimentsLearning | ForecastingFlowDelivery | ExperimentsGrowthAnalyticsValidation |