The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
Arm yourself with a robust research toolkit that will help you uncover deep behavioural insights on user needs and motivations so you can design better experiences.
This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.
The industry standard course in UX research Master the research skills that make UX professionals so valuable. Become a confident, credible and effective user researcher with a globally recognised qualification. Who is it for? UX professionals Aspiring UX researchers Duration 16 weeks Commitment 3 hours per week Format Online, self-paced with live support and mentoring Why take this user research course: Gain the most in-demand skills* and boost your career in a thriving industry. Learn a complete range of UX research methods. Expand your toolkit to conduct high-quality research at pace. Become an insights expert. Translate findings into actionable insights and communicate them with conviction. Showcase your expertise. Build a professional user research portfolio and earn a university credit-rated qualification. Get the confidence to succeed. Count on our mentors, career advisors and student community throughout your journey. *Research is one of the top 10 most in-demand skills globally (LinkedIn, 2023). A comprehensive, in-depth curriculum This user research course has been created and validated by experts in UX research. It is credit-rated by Glasgow Caledonian University. Self-paced learning gives you the flexibility to study in your own time. Monthly deadlines and submissions give you structure and accountability. The best of both worlds. Module 1 Introduction to user research Understand the role of a UX researcher. Explore the types, methods and ethics of research. Module 2 Planning the research Learn how to build a research plan, collaborate with stakeholders, recruit participants and manage data. Module 3 Fundamental user research skills Master the core skills of interviewing and usability testing. Learn how to moderate and take notes. Module 4 Expanding your toolkit Explore qualitative research methods like ethnography, contextual enquiry, service safaris and diary studies. Module 5 Analysing qualitative research Learn to analyse research data and translate it into user goals, affinity diagrams, personas and journey maps. Module 6 Quantitative research Learn to design, conduct and analyse online surveys, A/B tests and more. Module 7 Communicating the research Learn how to report and present your findings with confidence. Module 8 AI for user research Explore how AI tools can assist researchers. Project Portfolio project Build a professional portfolio to showcase your research expertise.
This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).
The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).