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Nielsen Norman Group

Analyzing Qualitative UX Data

via Nielsen Norman Group

Overview

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To succeed in a competitive job market, UX researchers must identify, extract, and communicate innovative insights from large amounts of complex data.

Syllabus

What you will learn

Understand the landscape of qualitative data analysis

  • Overview of qualitative analysis methodologies
  • The core skills of the qualitative researcher
  • How analysis differs for exploratory and evaluative research data

Learn how to do a thematic analysis

  • Thematic analysis: What it is
  • Steps to perform a thematic analysis
  • Choosing and using tools for thematic analysis

Code data appropriately

  • Choosing a coding approach to fit the data and your goals
  • Inductive vs. deductive coding
  • Apply different code types throughout the coding process
  • Iterate through your codes
  • Moving from codes to categories
  • Different software tools and approaches for coding

Extract and report insights

  • Write memos to explore your data
  • Question frames to help you move beyond the literal
  • Visualization techniques to identify and explore important connections
  • Techniques to test your interpretations
  • Analyzing effectively with others and reducing bias
  • How to effectively communicate insights to your team and stakeholders

Analyze usability test data appropriately

  • Analyze behavior in addition to transcripts
  • How to catalog issues and determine their severity
  • Tools and methods for analysis of usability test sessions

Taught by

Maria Rosala, Eniola Abioye

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