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| Criterion | ![]() Product Discovery Kano Model | ![]() Agile Affinity Estimation | ![]() Product Discovery Opportunity Scoring |
|---|---|---|---|
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 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 opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 1-2 Tage | 30-90 min | 60-120 min |
Participantsdifferent | 10-50 | 3-12 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Affinity Size Map, Grouped Estimates, Unclear Items | Opportunity Score Table, Top Outcomes |
Tagsno overlap | SatisfactionPrioritizationCustomer | EstimationBacklogRelative sizing | PrioritizationDiscoveryOutcomesNeeds |
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