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| Criterion |  Product Discovery Opportunity Scoring |  Product Discovery Kano Model |  Agile Bucket System |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | 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 hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-120 min | 1-2 Tage | 30-90 min | 60-90 min |
Participantsdifferent | 3-6 | 10-50 | 3-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | Kano Matrix, Feature Classes, Priority Themes | Bucketed Backlog, Relative Estimates, Split Candidates | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | SatisfactionPrioritizationCustomer | EstimationBacklogRelative sizing | ExperimentsPrioritizationDiscoveryHypothesis |