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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
A paper-based illustration representing Kano Model with its core stages and visible working result.
Product Discovery
Kano Model
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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 features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-3 Wochen1-2 TageMehrere Wochen60-120 min
Participantsdifferent
5-12 Interviews10-502-6 researchers plus sample3-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Job Stories, Outcome Statements, Opportunity ListKano Matrix, Feature Classes, Priority ThemesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesOpportunity Score Table, Top Outcomes
Tagsno overlap
CustomerOutcomesNeeds
SatisfactionPrioritizationCustomer
OutcomesInnovationResearchQuantitative
PrioritizationDiscoveryOutcomesNeeds
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