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| Criterion | ![]() Agile Affinity Estimation | ![]() Product Discovery Product Kata | ![]() Product Discovery Jobs to Be Done | ![]() Product Discovery Opportunity Scoring |
|---|---|---|---|---|
Purposedifferent | 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. | Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning. | 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. | 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 | Medium |
Timedifferent | 30-90 min | 1-2 Wochen je Loop | 1-3 Wochen | 60-120 min |
Participantsdifferent | 3-12 | 3-10 | 5-12 Interviews | 3-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | Direction, Current metric, Target metric, Experiment note, Learning report | Job Stories, Outcome Statements, Opportunity List | Opportunity Score Table, Top Outcomes |
Tagsno overlap | EstimationBacklogRelative sizing | OutcomesDiscoveryLearningIterationCoaching | CustomerOutcomesNeeds | PrioritizationDiscoveryOutcomesNeeds |



