AI for UI/UX Research & Design: ChatGPT, Perplexity & More

Name: AI for UI/UX Research & Design: ChatGPT, Perplexity & More
Rating: 4.2 (207 reviews)

Learn to use AI tools to research, analyze, and design user-friendly UI/UX experiences backed by data-driven insights

Created byFaisal Memon (EmbarkX), EmbarkX Official

Last updated 1/2026

English

English [Auto],Spanish [Auto],

What you'll learn

Plan and conduct AI-powered research to uncover user needs and product problems.
Use AI to design smarter surveys, interviews, and usability studies for UI/UX projects.
Analyze and synthesize data with AI tools to generate actionable design insights.
Present compelling AI-assisted research findings to influence design decisions.

Course content

7 sections • 17 lectures • 1h 52m total length

Introduction to AI-Powered UX Research4:51
Ai accelerates ux research by acting as helpers across planning, surveys, synthesis, and insights. Researchers stay in control while using ai tools to speed up work.

Using AI For Brainstorming & Deconstructing Product Problems10:03
Use AI as a brainstorming companion to clarify weak stakeholder input, turn vague problems into structured research questions, and generate a broad hypothesis space with measurable validation metrics.
Using Frameworks with AI to Deconstructing Product Problems9:59
Apply the 5wh problem deconstruction framework to define who, what, when, where, why, and how, revealing root issues and multiple perspectives with AI acceleration.
Expanding with Other AI tools6:10
Expand your research toolkit with ai powered tools like illicit.com and perplexity ai to find, summarize, and synthesize papers on online grocery cart abandonment and e-commerce checkout.

Choosing the Right Mode (Interview vs Survey)4:32
Compare interview, quick survey, and hybrid modes to tailor user research, with ai-assisted recommendations that balance depth and breadth for problem statements like checkout abandonment.
Planning the Survey using AI5:17
Plan your survey with AI using a principle-based checklist to craft clear, relevant, and anonymous questions. Let AI brainstorm and generate structured surveys with sections and iterative refinements.
Creating Survey using AI with TypeForm and Google Forms8:56
Learn how to auto-create surveys with AI in Google Forms using Gemini and Typeform, turning a draft into a ready form with sections and mandatory questions.
Smarter Interview Setup with AI10:05
Plan ai-driven ux interviews to uncover abandonment drivers (delivery fees, payment options, checkout clarity) by generating interview goals and open-ended questions, and simulate responses with multiple personas to refine insights.

Introduction – Setting the Right Expectations2:01
Explore how AI assists in summarizing and synthesizing research data for UX work. AI acts as a first pass to speed analysis and reduce researcher fatigue without replacing judgment.
Analyzing Survey Results with AI8:47
Analyze survey results with ai by clustering responses into themes—delivery fees, payment method limitations, and checkout speed—and translate insights into actionable improvements like cheaper delivery, payment options, and faster checkout.
Uploading Transcripts/Notes for AI Summaries6:11
Learn to extract themes and actionable insights from meeting transcripts, attach supporting quotes, and validate findings for efficient UX research.
Introduction to Otter and Dovetail8:22
Explore Otter AI and Dovetail as AI tools for streamlining user research, with live transcription, meeting summaries, action items, and seamless integrations across Zoom, Google Meet, calendars, and data-backed insights.

Perplexity AI for Competitor Discovery7:55
Leverage Perplexity AI for competitor discovery by summarizing sources and identifying direct and indirect rivals, features, pricing, and gaps.
ChatGPT / Claude for Summarizing Competitors4:10
Learn how ChatGPT or Claude enables direct and indirect competitor analysis for a five-minute relaxation meditation app for busy professionals, including feature, pricing experiments, and UX comparisons.

AI-Assisted Research Synthesis9:06
Learn to summarize research with ai and generate reports, visuals, and infographics. Build competitor analyses with bar charts of features versus pricing using ChatGPT and Gemini to enhance presentations.
Stakeholder Communication & Presentation3:35
Turn raw research into persuasive, audience-specific presentations stakeholders understand and act on, by generating actionable insights for product teams or executives, and leverage ai tools like Canva to design slides.

Requirements

No prior AI knowledge needed. Basic understanding of UI/UX design concepts is helpful but not required.

Description

AI for UI/UX Research & Design – Smarter Insights, Better Experiences

Designing great products starts with great research — and now AI makes it faster, sharper, and more impactful.
This course takes you end-to-end through how to use AI-powered research and analysis to improve your UI/UX design process.

What you’ll learn:

How to frame product problems and craft research questions that actually inform design
Plan and run AI-powered surveys & interviews with tools like ChatGPT, Google Forms, Typeform
Use AI to summarize user interviews, survey data, and usability tests
Conduct AI-powered competitor analysis with Perplexity AI, ChatGPT
Turn insights into actionable UI/UX improvements and design directions
Present findings with AI-assisted storytelling & research decks that win stakeholder confidence

This course is for:

UI/UX Designers who want to add AI skills to their toolkit
Product Managers & Founders who need lean, research-driven design
Anyone looking to future-proof their design career with AI

This course is ideal for UI/UX designers, product managers, researchers, and founders who want to make smarter design decisions using AI. It’s also a great fit for beginners entering the design field who want to future-proof their career by learning how to combine human creativity with AI-powered research and analysis.

By the end, you’ll know how to blend AI + human creativity to create designs that are not only user-centered, but also backed by data-driven insights.

Who this course is for:

This course is ideal for UI/UX designers, product managers, researchers, and founders who want to make smarter design decisions using AI.
It’s also a great fit for beginners entering the design field who want to future-proof their career by learning how to combine human creativity with AI-powered research and analysis.

AI for UI/UX Research & Design: ChatGPT, Perplexity & More

What you'll learn

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Course content

Course Introduction1 lecture • 5min

Getting Clear on the Problem and Plan Your Research Using AI3 lectures • 26min

Setting up Smarter Interview & Survey Setup4 lectures • 29min

Summarizing and Synthesizing Research Data4 lectures • 25min

AI Powered Competitive Analysis2 lectures • 12min

Presenting AI Assisted Research2 lectures • 13min

Course Bonus1 lecture • 3min

Requirements

Description

Who this course is for: