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| Criterion |  Operations Bottleneck Analysis |  UX Research Surveys |  Product Discovery Outcome-Driven Innovation |  Operations Theory of Constraints |
|---|---|---|---|---|
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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 1-3 h | 3-14 Tage | Mehrere Wochen | 2-4 h Analyse, laufend |
Participantsdifferent | 3-8 | 50+ | 2-6 researchers plus sample | 3-12 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Survey Results, Charts, Segment Insights | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Constraint Map, Improvement Plan, Flow Metrics |
Tagsno overlap | FlowMeasurementConstraints | QuantitativeResearchValidation | OutcomesInnovationResearchQuantitative | OperationsConstraintsFlowImprovement |