AI and UX Design: How AI Improves User Experience

Kate Parish UX image


Artificial intelligence has emerged as a way to mimic human behavior and streamline various tasks. It has become a recognized ally in customer service, marketing, sales and more. We are already accustomed to talking to intelligent robots in customer support, and communicating with them on social media and e-commerce websites.

8 benefits of AI for designers

  1. Increased creativity
  2. Increased efficiency
  3. Improved accuracy
  4. Better personalization
  5. Access to new materials, textures and styles
  6. Cost-effectiveness
  7. better decision making
  8. Reduce time to market

Let’s take a look at one of the recent developments in AI, ChatGPT and its alternatives. These AI-powered systems can interact with people in human-like ways, generate ideas and text, write code, and create images and videos. AI is still in its infancy and learning steadily, but its potential is immense. But did you know that AI can transform his UX design?

User experience (UX) is what you feel when using a website, mobile application, or any other device. UX designers aim to ensure a user experience that encourages visitors to become clients and brand advocates.

With customer expectations rising, AI capabilities can give designers a competitive edge.

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3 ways AI can improve the user experience

Why should companies incorporate AI into UX design? AI can improve the lives of UX designers in many areas. EC site renewal, developing mobile applications and even creating chatbots. Consider the following three AI benefits:


Personalization is one of the most powerful ways to improve website metrics like conversion rates, page views and clicks. Improve your ROI 89% of marketers It also drives repeat sales for 60% of consumers. However, personalization works thanks to data. How can I handle it effectively?The answer is artificial intelligence.

AI can personalize UX design based on user behavior, demographics, interests and other details. You can use it to help with the following tasks:

  • Build intelligent user interfaces to meet client needs
  • Deliver the most relevant information to intended users
  • Discover trends and predict user preferences

Automate routine tasks

UX designers have to perform a variety of repetitive tasks that require their attention, but they have very little brain power. is not. Designers simply review different formats and fill out forms. Fortunately, such steps can be easily automated. AI makes a designer’s job more productive by taking care of the tedious tasks. For example, AI-powered tools can:

  • image resizing
  • remove background
  • correct color
  • Suggest a matching color palette
  • File trimming

Advanced technology allows it to be done without human involvement, freeing up valuable working time. For example, designers can use Adobe’s Stitch feature to stitch images together and recognize image patterns.

Identification of behavioral patterns

The idea of ​​collecting data has existed for some time. Designers, marketers, and developers need to understand their target market, launch user-friendly and relevant solutions, and meet their business needs. However, providing insights from the collected data is one of the complex tasks here. But AI can also support it.

AI is improving how businesses collect and analyze data, enabling deeper insights and more thoughtful decisions. how? AI and machine learning (ML) systems advance over time. Spend less time doing UX research by learning how to identify patterns to collect, analyze, and interpret user data.

This is an example of using AI. AI can be used to create surveys to collect user data. The information is then examined using specialized software, such as an OCR program. AI can also learn how to react to user input when analyzing qualitative data. This is another cool feature.

How AI can help build your UX process

Even if you don’t want to deal with complex AI solutions, you can improve your UX design process with simple tools like ChatGPT. This section considers some ways to use them to your advantage.

Creating UX personas

The first way to leverage AI is to create user personas. Who are you developing your website or app for? You need to understand the key characteristics of your target audience and design such personas to meet their expectations. ChatGPT can create a proto persona, which is a preliminary version of the UX persona. It’s useful at first because there isn’t enough user data.

Here’s what it looks like:

An example of using AI to create UX personas.
Image: Kate Parish / ChatGPT / Built In

competition research

It’s hard to outperform your competitors without knowing what they’re proposing. This is why competitor research is so important for UX designers. However, this process can be time consuming and you may miss something when analyzing other her websites and apps. ChatGPT can help here too.

ChatGPT cannot distinguish between features with the same function but different names. Therefore, we must first standardize the elements and utilize this tool for competitor analysis, which can be done using tools such as GetApp. Here you can compare up to 4 competitors.

Competitor comparison example on GetApp
Image: Kate Parish / GetApp / Built-in

The comparison page looks like this:

GetApp comparison page example
Image: Kate Parish / GetApp / Built-in

Below is an example of how to ask ChatGPT for a functional analysis, conduct a SWOT analysis, and present the results as a table.

SWOT analysis example using ChatGPT
Image: Kate Parish / ChatGPT / Built In

Generating moodboards and icons

Another well-known AI tool, Midjourney, may seem like a good helper for image creation and illustrators. Still, it’s also useful for UX designers. Please note that the vendor has ended free access to their software due to increased demand, so you will need to purchase it.

Midjourney helps you create mood boards to express the mood you want your app to have and come up with solutions that everyone will love. The best part is that the process can take several minutes. Just enter the specific prompts or upload the user interface sample as a guide to get different options.

This tool can also provide a large number of original icons. Specify the desired style for Midjourney to follow and give as specific instructions as possible to control the AI ​​output.

drafting copy

You can use the proven lorem ipsum copy. However, AI also allows us to better visualize our designs and present early prototypes to our clients. The screenshot below shows how an AI solution like can generate impressive examples of text content.

Example of text production with
Image: Kate Parish / / Built In

DESIGN system documentation

Create design system documentation faster with tools like Figma, Zero-Height, Supernova, and AI technologies like ChatGPT. Please elaborate what you need to do to get the result like in the screenshot below.

Examples of using AI to document systems
Image: Kate Parish / ChatGPT / Built In

AI in UX Design: Limitations

The negative effects of AI are just as big as the positive effects. But if you know what to expect from AI, you can prepare for these situations and mitigate them more effectively. Let’s take a look at the existing challenges in integrating AI into UX design.

Storage and protection of user data

The first concerns regarding the use of AI concern privacy and security. Data collection is a common practice, but modern users are familiar with using data.

What does AI have to do with these fears? AI takes data analysis to a higher level, processing more sensitive and accurate consumer information. More likely to misuse or steal your data.

As disruptive technologies like AI gain wider commercial acceptance, the need for new data protection regulations is increasing. UX designers should protect users by using data appropriately and providing some level of privacy.

prejudice and discrimination

Prejudice and discrimination pose another problem for AI in UX design. Algorithms use existing bases to make decisions, which can lead to undesirable results. Suppose the data in your system is biased towards certain groups. AI may make discriminatory conclusions or recommendations without thinking that it might offend someone. AI is unthinkable, so UX designers should check training data sets and testing algorithms for bias.

source of information

AI enabled content generationWe’ve already seen it in ChatGPT and other content writer examples. But have you ever thought about the source of their text? The system extracts information from whatever the developer or user feeds. The same is true for the UX design case.

AI can find the best option, predict the customer’s next step, and populate the data. However, these features rely on previous experience. If you need to come up with an innovative idea, just ask AI for advice. Also, you need to be careful what you get out of your system. AI cannot tell if the current information is wrong, outdated, or incomplete, and will return unreliable answers.

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AI and Design: Final Thoughts

Customers demand change and progress. They influence how companies plan their communication strategies, attract and retain clients, and design their websites and apps. AI is an integral part of today’s day-to-day business, and it also helps UX design.

AI can process vast amounts of data, learn from past decisions to improve future outcomes, and find patterns in customer behavior. Spot potential problems before they occur and predict business growth trends.

But it is not a perfect human replacement. AI learns from human interactions, but it’s far from perfect at this point. If we want to provide better services and products, we must embrace the power of the human mind and AI automation together. Minimize the potential drawbacks of AI with human intervention and see productivity soar and the number of dissatisfied clients plummet.


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