Analysing User Research Data
This masterclass course will cover the theoretical background and give you hands-on experience of analysing and synthesising qualitative user research data to create high-quality insights.
What you’ll learn
- Basic concepts that underpin robust qualitative data analysis
- Common qualitative data methods used in user research, and how to do them well
- How to balance rigour with the reality of having to get stuff done
- How to synthesise useful and actionable insights from your data
- How to navigate the gap between doing your analysis and reporting your findings
Other course information
- It’s run in a small group, with an average size of 15 people
- The course includes some group working (please do include any additional needs in relation to this on the accessibility survey)
- You’ll have the opportunity to ask questions and receive feedback from our experienced team
- The format is approximately 60% theory and 40% practice
- We’ll share course materials afterwards, together with recommendations for further reading
- We also offer 1-2-1 mentoring sessions following the course to provide additional support specific to your work context
Who should come on this course?
Anyone who would like to improve their understanding of user research data analysis, including:
- People who are new to user research and want a solid overview of analysing qualitative user research data.
- Established user researchers who would like to dig a bit deeper into the theory and practice of analysis.
- People who sometimes get involved in analysis, such as designers and product managers, and want to improve how they work with their researchers.
Do you want to learn as a group?
We can also deliver this course to your team, either online or in person, visit our in-house training page for more information.
*We want to make sure our courses are available to everyone, so please get in touch with us about a free place if you are unemployed, on maternity leave or on a very low income.
But wait… what is this course about?
Analysis of user research data is the process by which observations about users are turned into actionable insights. If those insights are not based on a robust and rigorous process, teams risk working from an inaccurate understanding of their users – the very problem that user research is trying to solve in the first place.
However, robust and rigorous processes can clash with the tight timelines and budgets that user researchers often find themselves working to.