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Criterion
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Affinity Diagramming
UX Research
Affinity Diagramming
Surveys method illustration showing its working structure
UX Research
Surveys
Purposedifferent
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.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 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.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.
Complexitydifferent
LowHighLowMedium
Timedifferent
30–60 minMehrere Wochen45–90 min3-14 Tage
Participantsdifferent
4-82-6 researchers plus sample3-1050+
Formatdifferent
WorkshopWorkshop + asyncWorkshopAsync
Outputdifferent
Empathy Map, Assumptions List, Research GapsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesTheme clusters, Insight statements, Opportunity areasSurvey Results, Charts, Segment Insights
Tagsno overlap
SynthesisQualitativeWorkshop
OutcomesInnovationResearchQuantitative
SynthesisQualitativeRoot cause
QuantitativeResearchValidation
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