Cách Sử Dụng AI và ChatGPT Cho Nghiên Cứu UX Hiệu Quả Năm 2026

UPDATED FOR 2026: 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!