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Criterion
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 for Bucket System.
Agile
Bucket System
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Purposedifferent
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 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 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
1-3 Wochen30-90 min30-90 min60-120 min
Participantsdifferent
5-12 Interviews3-123-123-6
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Job Stories, Outcome Statements, Opportunity ListBucketed Backlog, Relative Estimates, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear ItemsOpportunity Score Table, Top Outcomes
Tagsno overlap
CustomerOutcomesNeeds
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
PrioritizationDiscoveryOutcomesNeeds
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