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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
Surveys method illustration showing its working structure
UX Research
Surveys
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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 Wochen3-14 Tage30–60 min
Participantsdifferent
3-102-6 researchers plus sample50+4-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop
Outputdifferent
Theme clusters, Insight statements, Opportunity areasDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesSurvey Results, Charts, Segment InsightsEmpathy Map, Assumptions List, Research Gaps
Tagsno overlap
SynthesisQualitativeRoot cause
OutcomesInnovationResearchQuantitative
QuantitativeResearchValidation
SynthesisQualitativeWorkshop
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