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UX Research Assistant

San Jose Metro Area, CA

Posted: 05/30/2019 Job Type: Engineering Job Number: JN -052019-24977
Overall Responsibilities:
  • Support ongoing UX research work by moderating qualitative design evaluation studies, analyzing data, organizing research session logistics, writing detailed reports.
  • Collect and analyze user behavior through benchmark studies, lab studies, interviews, home visits and/or surveys.
  • Work with other researchers, designers, product managers, and engineers in a fast-paced, rapidly changing environment.
  • Understand and incorporate complex technical and business requirements into research.
  • Advocate research findings to diverse audiences through written reports and oral presentations.
Top 3 Daily Responsibilities:
  1. Working with other researchers to create study plans, organize study materials, define participant / respondent criteria, and arrange research sessions.
  2. Collect and organize materials needed for research activities; gather data for these activities (e.g. taking session notes, fielding surveys).
  3. Analyze and report on data from research activities.


  • Masters degree in Background in Human Factors, Human-Computer Interactions, Cognitive Science, Experimental Psychology, Anthropology, Information Science, or a related field, or Bachelors Degree with 1+ years of experience
  • Must have experience working on PC or console video game experiences, or a strong intrinsic interest in video games. (Very Important)
  • At least one year experience conducting qualitative research, design evaluations, and/or usability studies, and/or designing and analyzing behavioral and attitudinal surveys in an industry or academic environment. (Very Important)
  • Excellent interpersonal, communication, negotiation and collaboration skills. - Experience working with other researchers on qualitative data collection, analysis, and reporting.
  • Organized and detail-oriented.
  • Desired- At least one year experience conducting research on consumer-facing experiences.
  • Experience mixing qualitative and quantitative methods, data, and analyses to provide a thorough understanding of user behaviors and preferences.
  • Working knowledge of both descriptive and inferential statistics, as well as the principles of experiment design.
  • Strong survey design and analysis skills (both quantitative and qualitative survey approaches).
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