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| Criterion |  Product Discovery Kano Model |  Agile Planning Poker |  Agile Affinity Estimation |  Agile Bucket System |
|---|---|---|---|---|
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-2 Tage | 2-5 min je Item | 30-90 min | 30-90 min |
Participantsdifferent | 10-50 | 3-9 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Relative Estimates, Assumption Notes, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | SatisfactionPrioritizationCustomer | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |