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Top 5
MS DS Program Ranking in the nation by Fortune Education

AI-Assisted UX Lifecycle:
Research, Design, Implementation, and Testing

In-person, Two full days
July 19, 2025 (Saturday) and July 26, 2025 (Saturday)

Location: UNT Frisco Campus

 

Program Fee:

  • Early bird registration (till June 20, 2025): $ 1,200
  • Regular price (June 21 - July 4, 2025): $ 1,500

About the UX Executive Education Program: AI-Powered UX Design

In today’s competitive digital economy, users’ expectations are higher than ever. A single frustrating interaction with a website, application/“app”, or service can drive customers straight to a competitor. This is why User Experience (UX) Research and Design is no longer just a concern for designers and product teams—it’s a strategic imperative for chief executives.

User experience is not merely about aesthetics or usability; it encompasses all the “touchpoints/interactions” between a user and a digital product/service. The User Experience lifecycle includes UX research, design, implementation, and evaluation stages. UX is the powerful, driving force of business growth, customer engagement, and competitive business advantage. Companies that invest in UX research and design often see significant improvements in conversions and customer satisfaction, while those that neglect UX risk substantial financial losses due to poor user interaction and the customer dissatisfaction that quickly follows. From “Amazon’s streamlined checkout’s” to “Apple’s intuitive interfaces”, market leaders understand that strategically planned, well-designed UX is a revenue-generating powerhouse. Whether it’s boosting customer satisfaction, optimizing sales strategies, or discovering new revenue channels, a user-centric approach directly impacts brand success, and this means that prioritizing UX is no longer optional, it’s a business necessity.

User and User Experience (UX) research and the design decision-making processes they inform play a critical role in shaping digital interactions, influencing user engagement, satisfaction, and, ultimately, business performance. With the rapid advancement of Artificial Intelligence (AI), the UX domain is facing a profound transformation, marked by automation, personalization, and the need for enhanced creativity. AI technologies are not only augmenting traditional design practices—rather, but they are also fundamentally reshaping how interfaces and the interactions they enable are conceptualized, designed, and optimized, leading to more adaptive, intelligent, and user-centered experiences.

To prepare information professionals quickly so they can effectively understand, adapt to, and strategically embrace the diverse array of changes that AI technology has brought to our disciplines, we plan to host an executive educational program that will focus on helping participants gain knowledge about the three main topics described below:

UX Research Empowered by AI

Traditionally, UX research has relied on data gathered from surveys, interviews, and A/B testing to understand user preferences. AI-powered analytics tools can generate insights from real-time user experience research and then inform design decisions, ensuring that UX strategies are based on empirical data rather than assumptions or purely reactive methods. 

UX Design Enhanced by AI

Graphic Design focuses more on visual communication and making digital products visually appealing (e.g., be employing conventions derived from the world of print regarding color theory, typography, layout, and illustration or photography). UX Design focuses more on using research to guide wireframing, prototyping, information architecture, interaction and interface design, workflow, and functionality (e.g., searching and search engine optimization). Generative AI (as facilitated by ChatGPT, Midjourney, Adobe Firefly, and Dall-E 2, among others) and UX domain AI (e.g., Uizard) serve as a co-creators, assisting designers and their collaborators in ideation and problem-solving. AI models can suggest innovative UI/UX solutions, experiment with novel visual styles, and even generate entire user flows based on best practices. This fosters the ideation stage of design, enabling designers to explore new paradigms that may not have been conceivable through traditional methods. 

UX Testing & Evaluation Expedited by AI
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Previously, UX testing and evaluation took several weeks due to the time-consuming data collection analysis processes. The integration of artificial intelligence- (AI) powered features in UX testing and evaluation software significantly accelerates this process, making it more efficient and insightful. AI-powered tools can automate usability testing, tree testing, first-click testing, etc., and analyze vast amounts of user data quickly, and generate real-time insights in relatively short periods, reducing the time and resources required for traditional UX research.

In this immersive two-day executive education program designed for current and future UX professionals, you’ll gain practical insights into how Human-AI Interaction can positively affect the evolution of your UX and UI projects. You’ll leave equipped with actionable strategies, solutions, and skills to seamlessly integrate AI into your everyday activities and responsibilities, enhancing your work efficiency, and making a greater positive impact in your organization. 

 

Organized by:

Faculty in the College of Information & College of Visual Arts and Design
University of North Texas
Format: In-Person, Two Full Days
Location: UNT Frisco Landing (12995 Preston Road, Frisco, TX 75033; phone: 972.668.7100)