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| Criterion |  Product Discovery Opportunity Scoring |  Agile Bucket System |  Agile Affinity Estimation |  Product Discovery Jobs to Be Done |
|---|---|---|---|---|
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 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 switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 60-120 min | 30-90 min | 30-90 min | 1-3 Wochen |
Participantsdifferent | 3-6 | 3-12 | 3-12 | 5-12 Interviews |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items | Job Stories, Outcome Statements, Opportunity List |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing | CustomerOutcomesNeeds |