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| Criterion |  Product Discovery Kano Model |  Operations Gemba Walk |  Agile Bucket System |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 Tage | 30-120 min | 30-90 min | 30-90 min |
Participantsdifferent | 10-50 | 2-6 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Observation Notes, Improvement Ideas | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | SatisfactionPrioritizationCustomer | LeanObservationProcessOperations | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |