Using AI for UX Work: Study Guide

Nielsen Norman Group (NN/g) published a study guide advising UX professionals to integrate AI tools into their workflows as assistants rather than replacements, citing that AI compresses the design process but does not eliminate it. The guide includes resources such as the CARE framework for crafting AI prompts and warns against seven 'deadly AI sins' that can weaken UX skills, emphasizing that human judgment remains essential for creative work.

Should you use AI in your work? Yes. The question is no longer if it can be helpful, but when? And how? By most practical measures, AI doesn’t seem ready to take over UX work completely, but many organizations encourage their UX teams to find ways to adopt AI-based tools into their workflows in hopes of increasing high-quality and efficiently produced outputs. Does AI guarantee better, more efficient work? No. The resources provided in this study guide can help you think about specific, targeted ways AI can assist your work, but you should keep your head on straight and think critically. If you don’t want to work for the robot, make the robot work for you. Integrating AI into UX Workflows So far, handing entire UX workflows over to AI is not always the answer. Rather, some of the best in our industry have found clever ways for AI to assist in their existing work . This generally means thinking of yourself as a strategist who leverages AI to increase what you can accomplish. Your hands still direct the work, but donning a set of AI “gloves” allows you to work in ways you never could before. | Number | Link | Format | Description | | 1 | AI for UX: Getting Started https://www.nngroup.com/articles/ai-ux-getting-started/ | article | UX professionals should use generative AI to enhance their skills, beginning with small tasks while being vigilant about hallucinations and unreliable advice. | | 2 | CARE: Structure for Crafting AI Prompts https://www.nngroup.com/articles/careful-prompts/ | article | Good AI prompts include context, a specific ask, rules, and examples. | | 3 | CARE: Structure for Crafting AI Prompts https://www.nngroup.com/videos/care-for-ai-prompts/ | video | | | 4 | AI as a UX Assistant https://www.nngroup.com/articles/ai-roles-ux/ | article | UX professionals use genAI as a content editor, research assistant, ideation partner, and design assistant. | | 5 | 7 Deadly AI Sins for UX Professionals https://www.nngroup.com/articles/7-ai-sins/ | article | Succumbing to AI temptations weakens your UX skills. Strive for the 7 AI virtues to keep yourself strong as you use AI in your work. | | 6 | Your AI UX Intern: Meet Ari https://www.nngroup.com/articles/ai-intern/ | article | Doing AI work with AI is like working with a talented intern who still needs supervision. | | 7 | Vibe Architects: Agentic Vibe Coders https://www.nngroup.com/articles/vibe-architects/ | article | Nondevelopers are building complex agentic AI systems through self-taught experimentation rather than formal training. | | 8 | Design Process Isn’t Dead, It’s Compressed https://www.nngroup.com/articles/design-process-isnt-dead/ | article | AI compresses the design process rather than eliminating it; experienced designers still move through the same steps, only faster. | | 9 | Why AI-Generated Holiday Ads Fail — And What They Teach Us About Using AI in UX Work https://www.nngroup.com/articles/ai-ad/ | article | AI-generated holiday ads lack authenticity and emotional resonance, demonstrating why human judgment remains necessary in creative work. | Career Strategy and the Evolution of UX Roles UX job roles are changing because of AI. It’s unsettling to acknowledge, but true. This is neither the first nor the last time this will happen. Rather than lamenting how things used to be, embrace the changes you can make to your skills and mentalities to stay valuable in the age of AI. | Number | Link | Format | Description | | 1 | Why I’m Not Worried About My UX Job in the Era of AI https://www.nngroup.com/articles/ux-job-with-ai/ | article | Tools constantly change, but AI will not eliminate the need for fundamental skills like understanding people and asking the right questions. | | 2 | The Future-Proof Designer https://www.nngroup.com/articles/future-proof-designer/ | article | Designers retain their value by focusing on strategy, storytelling, important outcomes, and data-judgment skills. | | 3 | The Return of the UX Generalist https://www.nngroup.com/articles/return-ux-generalist/ | article | As AI broadens what individuals can do, UX generalists who understand multiple disciplines and strategic thinking are becoming more valuable. | | 4 | Return of the Generalist https://www.nngroup.com/videos/return-of-the-generalist/ | video | | | 5 | Redefine Your Design Skills to Prepare for AI https://www.nngroup.com/articles/prepare-for-ai/ | article | There are 5 basic principles to embrace as UX practitioners evolve their skills to utilize AI. | | 6 | You're Not Too Late to Use AI https://www.nngroup.com/videos/not-too-late-to-use-ai/ | video | You can keep up with AI advancements by doing small experiments and reading a modest diet of optimistic and skeptical AI news. | | 7 | Design Taste vs. Technical Skills in the Era of AI https://www.nngroup.com/articles/taste-vs-technical-skills-ai/ | article | Discernment and good taste will still be necessary to produce superior designs as AI enables more people to create. | | 8 | The VR Hype Cycle: Lessons for the Age of AI https://www.nngroup.com/articles/vr-hype-cycle-lessons-for-ai/ | article | The hype of VR led to widespread disillusionment — AI is very susceptible to the same fate. | | 9 | The Four Design Jobs AI Created So Far https://www.nngroup.com/articles/design-jobs-ai-created/ | article | The single label of “AI design” has already split into four distinct types of work. | | 10 | What UX Consulting Clients Expect in the Age of AI https://www.nngroup.com/articles/ux-consulting-ai/ | article | Consulting clients still expect strong judgment, research rigor, and respect for real-world constraints, even as AI use grows. | Design The core skills valuable today are moving more toward the pure “UX” work of defining user needs, specifying user intent, and overseeing the creation of excellent journeys — not the “UI” design of pushing pixels around in a design tool. It’s becoming ever more critical to curate meaningful context for the AI. | Number | Link | Format | Description | | 1 | AI-Assisted Prototyping: Promise and Pitfalls https://www.nngroup.com/videos/ai-assisted-prototyping/ | video | Using AI to create prototypes shows promise but comes with a couple of dangerous risks. | | 2 | Promptframes: Evolving the Wireframe for the Age of AI https://www.nngroup.com/articles/promptframes/ | article | Promptframes use AI to increase the fidelity of wireframes to get better feedback from users and stakeholders efficiently. | | 3 | Promptframes: Using AI-Content to Inspire Feedback https://www.nngroup.com/videos/promptframes-using-ai-content/ | video | | | 4 | Leverage AI for Mock Tables and Charts When Testing Prototypes https://www.nngroup.com/articles/ai-data-prototype-testing/ | article | Using AI to create realistic tables and charts for prototypes can improve results from user testing. | | 5 | UX-Context Design: Using UX Knowledge to Inform AI-Generated Design https://www.nngroup.com/articles/ux-context-design/ | article | As more interface work is AI-generated, the output of research and design shifts from documents written for humans to curated context that guides AI. | | 6 | The Core Skill of Design in the AI Era: Critique https://www.nngroup.com/articles/ai-era-critique/ | article | Building useful and usable AI-powered systems requires encoding user needs and design judgment into well-defined evaluation criteria. | | 7 | Outcome-Oriented Design: The Era of AI Design https://www.nngroup.com/videos/the-era-of-ai-design/ | video | Outcome-oriented design defines adaptive frameworks that respond to individual user goals, rather than optimizing a single interface for average needs. | | 8 | Prompt to Design Interfaces: Why Vague Prompts Fail and How to Fix Them https://www.nngroup.com/articles/vague-prototyping/ | article | Precise visual keywords, references, mock data, and code snippets produce better AI-prototyping results than vague prompts. | Research AI-generated information cannot yet replace real data from real people. AI does not control your customer’s purse strings; they do. While AI can assist in many steps of the research process, from planning to analyzing to reporting, it’s critical to stay focused on insights that teach us about our real users. | Number | Link | Format | Description | | 1 | Accelerating Research with AI https://www.nngroup.com/articles/research-with-ai/ | article | AI is most helpful for the planning and analysis phases of UX research. | | 2 | Planning Research with Generative AI https://www.nngroup.com/articles/plan-research-ai/ | article | AI can successfully help create a research plan with careful prompting that breaks down each step. | | 3 | A Research Agenda for Generative AI in UX https://www.nngroup.com/articles/genai-ux-research-agenda/ | article | Key AI-related research questions for UX include genAI interfaces, new types of UIs, augmenting traditional methods, and AI-generated data sources. | | 4 | Digital Twins: Simulating Humans with Generative AI https://www.nngroup.com/articles/digital-twins/ | article | Digital twins are becoming more useful for UX research as they better simulate human behaviors. | | 5 | Synthetic Users: If, When, and How to Use AI-Generated “Research” https://www.nngroup.com/articles/synthetic-users/ | article | Synthetic users can supplement your research efforts but are far from capable of replacing research with real users. | | 6 | Synthetic Users: AI “Participants” https://www.nngroup.com/videos/ai-generated-users/ | video | | | 7 | Contextual Inquiry of AI Image-Generation Tools https://www.nngroup.com/articles/contextual-inquiry-ai-imagegen/ | article | A description of the methodology used in a study investigating how people use AI image-generation tools. | | 8 | Researching the Usability of Early Generative-AI Tools https://www.nngroup.com/articles/early-ai-tools-methodology/ | article | A case study for using ChatGPT to help plan research to study genAI interfaces . | | 9 | Don’t Outsource the Learning: Why Human-Led Research Still Matters in the Age of AI https://www.nngroup.com/articles/human-led-research-still-matters/ | article | Even if AI matches the quality of researcher output, the team learning that comes from observing users cannot be outsourced. | | 10 | Use AI Responsibly in Analysis https://www.nngroup.com/videos/use-ai-responsibly-in-analysis/ | video | AI can serve as a thought partner during research analysis, but it should not lead the interpretation. | | 11 | AI Can Help with Survey Writing, But It Still Requires Human Expertise https://www.nngroup.com/articles/ai-survey-writing/ | article | AI produces polished survey drafts quickly, but human expertise is still required to catch the subtle design flaws that weaken data quality. | | 12 | AI-Moderated Interviews: If, When, and How to Use Them https://www.nngroup.com/articles/ai-interviewers/ | article | AI-moderated interviews offer faster feedback at scale, but they do not replace in-depth, human-led semistructured interviews. | | 13 | AI Interviewers https://www.nngroup.com/videos/ai-interviewers/ | video | | | 14 | The Methodological Problems Hiding in Your Research Tools https://www.nngroup.com/articles/research-tool-problems/ | article | Methodological blind spots in UX research tools become more consequential once AI is planning and analyzing the research. | | 15 | Don’t Outsource Analysis to AI https://www.nngroup.com/videos/dont-outsource-analysis-to-ai/ | video | Outsourcing qualitative analysis to AI risks both poor insights and the researcher’s credibility. | Writing AI has exceptional writing abilities. However, relying on it too heavily can grind away the unique style, tone, and message you wish to convey. It might save time in the short run, but it will ultimately create a cacophony of monotony over time. | Number | Link | Format | Description | | 1 | ChatGPT and Tone: Avoid Sounding Like a Robot https://www.nngroup.com/articles/chatgpt-and-tone/ | article | Including tone words in prompts generally falls flat, whereas using existing copy and asking for multiple alternatives produces more natural AI output. | | 2 | AI for Tone: Avoid Sounding Like a Robot https://www.nngroup.com/videos/ai-for-tone/ | video | | | 3 | 3 Tips to Make AI a Better Editor https://www.nngroup.com/videos/better-AI-editor/ | video | Three prompting practices improve the quality of the edits AI produces. | Service Design Service design is the activity of planning and organizing a business’s resources to directly improve the employee’s experience, which will indirectly improve the customer’s experience. AI is starting to help in both ways. It has the potential to increase the productivity of internal employees, which enables them to better serve customers. However, it also has the potential to interface directly with customers, providing an experience of its own. | Number | Link | Format | Description | | 1 | How Service Design Will Evolve with AI Agents https://www.nngroup.com/articles/service-design-evolve-ai-agents/ | article | AI agents will increasingly carry out actions on behalf of users and organizations, changing how services are provided and received. | | 2 | Service Design in Era of AI https://www.nngroup.com/videos/service-design-in-era-of-ai/ | video | | | 3 | Service Design Metrics Shifting https://www.nngroup.com/videos/service-design-metrics/ | video | As AI becomes central to service delivery, new metrics must assess AI-to-AI performance, human-AI collaboration, data quality, and user trust. | Ideation and Workshops Many UX practitioners use AI extensively as an individual ideation and thinking partner. Does it have a role in workshops and group interactions? It can Thinking of AI as a “ cybernetic teammate https://www.hbs.edu/faculty/Pages/item.aspx?num=67197 ” is a powerful way to enhance the outputs of any group working together to solve a problem. | Number | Link | Format | Description | | 1 | AI as a Creative Teammate https://www.nngroup.com/articles/ai-creative-teammate/ | article | Teams using AI to augment ideation outperformed individuals and teams without AI, as well as individuals with AI. | | 2 | 4 Tips for Preparing AI-Enhanced Workshops https://www.nngroup.com/articles/preparing-ai-workshops/ | article | Thoughtful preparation leads to more successful AI-enhanced workshops. | | 3 | Facilitating AI-Enhanced Workshops: From Ideation to Action https://www.nngroup.com/articles/facilitating-ai-workshops/ | article | Follow these 5 tips for facilitating AI-enhanced workshops. | State of AI for UX Work The resources in this section report on aspects of AI’s impact on UX work at a specific point in time. While some highlight findings that still hold today, others have likely changed as AI’s capabilities have grown and its adoption in the UX field has evolved. | Number | Link | Format | Description | | 1 | Evaluating AI-Simulated Behavior: Insights from Three Studies on Digital Twins and Synthetic Users https://www.nngroup.com/articles/ai-simulations-studies/ | article | AI-simulated users show promise for filling in missing data and predicting population-level trends. 2025 | | 2 | AI Design Tools Are Marginally Better: Status Update https://www.nngroup.com/articles/ai-design-tools-update-2/ | article | At that time, narrowly scoped AI design tools were most useful, but not ready to replace designers. 2025 | | 3 | UX Leads Adoption of AI Chat https://www.nngroup.com/articles/ux-ai-adoption/ | article | UX-related activities were among the top types of requests made with Claude; many were focused on writing tasks. 2025 | | 4 | The UX Reckoning: Prepare for 2025 and Beyond https://www.nngroup.com/articles/ux-reset-2025/ | article | In 2025, UX must shift from relying on toolkits to delivering user value with AI, reassessing tactics and cultivating deeper skills. 2025 | | 5 | Status Update: AI UX-Design Tools Are Not Ready for Primetime https://www.nngroup.com/articles/ai-design-tools-not-ready/ | article | By April 2024, most AI tools designed for UX failed to meaningfully support core design workflows. 2024 | | 6 | AI Isn't Ready for UX Design https://www.nngroup.com/videos/ai-not-ready-for-ux/ | video | | | 7 | AI Tools Make Programmers More Productive https://www.nngroup.com/articles/ai-programmers-productive/ | article | Programmers using GitHub Copilot boosted throughput by 126%, with the greatest gains among less experienced coders. 2023 | | 8 | AI Tools Raise the Productivity of Customer-Support Agents https://www.nngroup.com/articles/ai-productivity-customer-support/ | article | Support agents using AI handled 13.8% more inquiries per hour while slightly improving resolution quality — especially benefiting less-skilled agents. 2023 | | 9 | AI Improves Employee Productivity by 66% https://www.nngroup.com/articles/ai-tools-productivity-gains/ | article | Generative AI boosted employees’ output by 66% on average, proving especially helpful for less skilled workers and complex tasks. 2023 | | 10 | AI-Powered Tools for UX Research: Issues and Limitations https://www.nngroup.com/articles/ai-powered-tools-limitations/ | article | Many AI-powered UX research tools are not fully capable of all they claim to be able to do. 2023 | | 11 | ChatGPT Lifts Business Professionals’ Productivity and Improves Work Quality https://www.nngroup.com/articles/chatgpt-productivity/ | article | Business professionals using ChatGPT wrote faster and produced higher-quality outputs than those who did not. 2023 | | 12 | AI & Machine Learning Will Change UX Research & Design https://www.nngroup.com/videos/machine-learning-ux-research-design/ | video | Before LLMs were widely available, Jakob Nielsen predicted many ways AI would change the user experience and work of UX professionals. 2020 | | 13 | Demand Accuracy in Your AI Tools: Lessons from Baymard Institute https://www.nngroup.com/articles/baymard-ai-tool-accuracy/ | article | Most AI-powered tools for UX lack reliability and accountability in their outputs, so buyers should demand proven accuracy. | | 14 | State of UX 2026: Design Deeper to Differentiate https://www.nngroup.com/articles/state-of-ux-2026/ | article | After the instability of 2025, the UX field is stabilizing, but differentiation and demonstrated business impact remain vital. | Podcast Episodes | Number | Link | Format | Description | | 1 | 26. The Evolution of UX ft. Dr. Jakob Nielsen https://www.youtube.com/watch?v=aWs8mQQJ2NQ&list=PLJOFJ3Ok idv78lCtzYaKUiO07CC rU0A&index=31&ab channel=NNgroup | podcast | Jakob Nielsen reflects on how prior turbulence in the UX field is similar to the recent impacts of AI. | | 2 | 44. AI & UX Research feat. Savina Hawkins & Caleb Sponheim https://www.youtube.com/watch?v=MzEdJla24Kg&list=PLJOFJ3Ok idv78lCtzYaKUiO07CC rU0A&index=11&ab channel=NNgroup | podcast | AI can enhance productivity and innovation in UX work, but it poses risks and challenges. | | 3 | Bonus Episode: Design’s Role as AI Expands Feat. Don Norman and Sarah Gibbons, VP at NN/g https://www.youtube.com/watch?v=jIWUaOcJdPs&list=PLJOFJ3Ok idv78lCtzYaKUiO07CC rU0A&index=19&ab channel=NNgroup | podcast | Don Norman and Sarah Gibbons encourage UX professionals to think big in the wake of AI's advancements. | | 4 | 50. Responsible AI Use for Research Analysis feat. Alexander Knoll, Co-Founder of Condens.io https://www.youtube.com/watch?v=padphUY5O8k&list=PLJOFJ3Ok idv78lCtzYaKUiO07CC rU0A&index=5&ab channel=NNgroup | podcast | AI tools for research have both strengths and limitations, and the user research role is evolving. | | 5 | 51. The Future of Service Design in the Age of AI featuring Erika Flowers https://www.youtube.com/watch?v=w5J1u88GODo&ab channel=NNgroup | podcast | AI will shift designers’ focus away from the minutiae of design work to how we can make meaningful change. | | 6 | 55. Democratizing Research in the Age of AI feat. Ned Dwyer, CEO & Co-founder of Great Question https://www.youtube.com/watch?v=an9rv-kByk8&list=PLJOFJ3Ok idv78lCtzYaKUiO07CC rU0A&index=9 | podcast | Ned Dwyer explores strategies for balancing the democratization of UX research with organizational rigor. | | 7 | 56. AI for UX Analysis: How Accurate Is It? feat. Christian Holst & Jamie Holst, Baymard Institute https://www.youtube.com/watch?v=DM-DVExbkUE | podcast | Christian and Jamie discuss the risks of relying on unverified AI tools for UX analysis. |