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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
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
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 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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.
Complexitydifferent
LowHighMediumMedium
Timedifferent
30–60 minMehrere Wochen3-14 Tage1-3 Tage
Participantsdifferent
4-82-6 researchers plus sample50+Internes Team
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Empathy Map, Assumptions List, Research GapsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesSurvey Results, Charts, Segment InsightsPersona Profiles, Needs Summary, Scenario Notes
Tagsno overlap
SynthesisQualitativeWorkshop
OutcomesInnovationResearchQuantitative
QuantitativeResearchValidation
ResearchCustomerSynthesis
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