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