What you'll learn:
- Learn the fundamentals of UX Research and why it is ripe for AI augmentation
- Use AI tools (like ChatGPT, Claude, and Gemini) as a practical assistant across the qualitative research workflow
- Write better prompts and get more reliable outputs using simple frameworks
- Use AI to speed up research planning, participant screening, interview prep, analysis, synthesis, and report drafting
- Improve interview quality with AI support, while keeping proper consent, recording basics, and question hygiene
- Turn messy notes and transcripts into clear themes and insights that stay grounded in real participant quotes (no invented evidence)
- Use AI ethically, with responsible workflows: confidence levels, limitations, privacy, disclosure, and safe data handling
- Go from AI overwhelm to confident, evidence-based research outputs that you can stand behind
UPDATED FOR2026: 75% more video content and screencasts, 18 brand new worksheets, checklists and prompt sheets!
Are you curious how AI can help you discover customer insights faster — without turning your research into “AI vibes” or compromising research integrity? This course is for you.
You’ll learn how Large Language Models (including ChatGPT, Claude, and Gemini) can speed up qualitative UX research across the full workflow: planning, recruitment, interviewing, analysis, synthesis, and reporting.
This is a step-by-step guide, walking you through a modern, rigorous approach where your research outputs stay traceable and credible. You’ll learn a simple, practical workflow for turning interviews into clear findings — keeping your notes organised, keeping key quotes easy to find, and making it obvious what’s solid vs what still needs validation — so you can draft reports that people can trust. AI helps with structure and speed, and you stay in charge of what’s true.
Whether you’re a seasoned researcher or you’re new to UX, the workflows in this course will help you work faster, communicate your findings more clearly, and avoid common mistakes like invented quotes or overconfident summaries. The course is taught by an experienced practitioner who has spent more than a decade working hands-on in UX research across agencies, corporates, and startups, and teaching UX in workshops internationally.
What You Will Learn:
Fundamentals of UX research, and where AI helps (and where it can mislead)
How to work with modern AI tools (LLMs) in a tool-agnostic way
How to plan research using a repeatable approach
How to recruit participants with better screeners without bias
How to conduct stronger interviews with AI by your side
A modern analysis workflow
Evidence-first synthesis with clear confidence levels and transparent limitations
How to draft a research report that avoids invented quotes and keeps claims tied to evidence
Practical ethics: privacy, AI disclosure, and safe data handling
Who This Course is For:
This course is for designers, product managers, UX professionals, and enthusiasts who are eager to explore the potential of AI in UX research.
No prior knowledge of AI or UX research is required.
A curiosity to learn about your users and customers is all you need!
