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| Criterion |  Operations Bottleneck Analysis |  UX Research Surveys |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 |
Timedifferent | 1-3 h | 3-14 Tage | 1-4 Wochen |
Participantsdifferent | 3-8 | 50+ | 1-6 |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary |
Tagsno overlap | FlowMeasurementConstraints | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
