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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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
Empathy Mapping
UX Research
Empathy Mapping
Purposedifferent
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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 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 lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.
Complexitydifferent
LowHighMediumLow
Timedifferent
45–90 minMehrere Wochen1-3 Wochen30–60 min
Participantsdifferent
3-102-6 researchers plus sample5-12 Interviews4-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Theme clusters, Insight statements, Opportunity areasDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesJob Stories, Outcome Statements, Opportunity ListEmpathy Map, Assumptions List, Research Gaps
Tagsno overlap
SynthesisQualitativeRoot cause
OutcomesInnovationResearchQuantitative
CustomerOutcomesNeeds
SynthesisQualitativeWorkshop
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