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Criterion
Empathy Mapping
UX Research
Empathy Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
LowHighLowMedium
Timedifferent
30–60 min1-4 Wochen30–60 min per interview45-75 min
Participantsdifferent
4-81-61 participant per interview2-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Empathy Map, Assumptions List, Research GapsExperiment results, Decision log, Learning summaryInterview Notes, Themes, Insight SummaryTest Matrix, Test Plan
Tagsno overlap
SynthesisQualitativeWorkshop
ExperimentsGrowthAnalyticsValidation
QualitativeResearchCustomerDiscovery
ExperimentsValidationDiscoveryOptions
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