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| Criterion |  Operations Process Mapping |  Product Discovery Smoke Test |  Operations After-Action Review |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots. | 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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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 | Low | High |
Timedifferent | 1-3 h | 1-5 Tage | 20-45 min | 1-4 Wochen |
Participantsdifferent | 3-10 | Nutzertraffic | 3-12 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Process Map, Handoff List, Improvement Backlog | Interest Metrics, Conversion Signal, Learning Note | Lessons learned, Action items, Event summary | Experiment results, Decision log, Learning summary |
Tagsno overlap | ProcessOperationsImprovement | ValidationExperimentsDemandGrowth | LearningOperationsImprovement | ExperimentsGrowthAnalyticsValidation |