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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of Product Kata with its method-specific working model.
Product Discovery
Product Kata
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
Paper illustration of Opportunity Scoring with its method-specific working model.
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
MediumMediumMediumMedium
Timedifferent
30-90 min1-2 Wochen je Loop1-3 Wochen60-120 min
Participantsdifferent
3-123-105-12 Interviews3-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsDirection, Current metric, Target metric, Experiment note, Learning reportJob Stories, Outcome Statements, Opportunity ListOpportunity Score Table, Top Outcomes
Tagsno overlap
EstimationBacklogRelative sizing
OutcomesDiscoveryLearningIterationCoaching
CustomerOutcomesNeeds
PrioritizationDiscoveryOutcomesNeeds
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