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| Criterion | ![]() Engineering Kanban | ![]() Delivery Cost of Delay | ![]() Product Discovery Assumption Mapping | ![]() Growth A/B Testing |
|---|---|---|---|---|
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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | High | Medium | High |
Timedifferent | Ongoing | 90-180 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 2-12 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | CoD Table, Prioritization Sequence | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | FlowVisual managementDelivery | PrioritizationDeliveryEconomicsDecision | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |



