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Research and analysis are vital elements in UX design, revealing user behavior, needs, and motivations. From analyzing user data, conducting field research, to competitive analysis, these steps shape user-centric designs. This page introduces essential research and analysis techniques in UX, guiding you in creating engaging and effective user experiences.
Competitive analysis
/kəmˈpɛtɪtɪv əˈnalɪsɪs/
Analysis of competitors that helps designers understand industry standards and identify opportunities for the product to stand out.
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Data Analysis
/ˈdeɪtə əˈnalɪsɪs/
Process of inspecting, cleansing, transforming, and modeling data to discover useful information which informs conclusions and decision-making.
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Desk research
/dɛsk rɪˈsɜːrtʃ/
Gathering and analyzing information that is already available to answer your research questions.
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Facilitator
/fəˈsɪlɪteɪtər/
The person who guides a research session or workshop — asking questions and keeping things on track without leading participants.
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Field research
/fiːld rɪˈsɜːrtʃ/
Collecting original data directly, typically through interviews, observations or surveys in a natural or real-world environment.
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Heatmap
/ˈhiːtmæp/
A visual overlay that uses colour to show where users click, move or look most on a page.
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UX research
/juː ɛks rɪˈsɜːrtʃ/
The practice of studying users — their needs, behaviours and context — to ground design decisions in evidence rather than assumptions.
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Value proposition canvas
/ˈvæljuː ˌprɒpəˈzɪʃən ˈkænvəs/
A framework that maps what customers need against what a product offers, to check that the two actually fit.
