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| Criterion |  Engineering Kanban |  Growth A/B Testing |  Growth Growth Experiment |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | Ongoing | 1-4 Wochen | 1-2 Wochen | 45-60 min |
Participantsdifferent | 2-12 | 1-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Experiment results, Decision log, Learning summary | Experiment card, Result summary, Next bet | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | FlowVisual managementDelivery | ExperimentsGrowthAnalyticsValidation | MarketingGrowthExperimentsLearning | AssumptionsRiskExperimentsValidation |