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Criterion
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
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.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.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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.
Complexitydifferent
LowMediumHighLow
Timedifferent
30–60 min1-3 TageMehrere Wochen30–60 min per interview
Participantsdifferent
4-8Internes Team2-6 researchers plus sample1 participant per interview
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Empathy Map, Assumptions List, Research GapsPersona Profiles, Needs Summary, Scenario NotesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesInterview Notes, Themes, Insight Summary
Tagsno overlap
SynthesisQualitativeWorkshop
ResearchCustomerSynthesis
OutcomesInnovationResearchQuantitative
QualitativeResearchCustomerDiscovery
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