7 Ways UX Designers Can Use AI to Their Advantage

AI has quickly become an integral part of the tech landscape. Many view AI as a way to improve efficiency and keep costs down. But the rise of AI has also given way to fresh concerns about the future of several disciplines—including UX design. If you’re new to UX, you might even find yourself wondering: Is AI going to take my job? 

Let’s set the record straight: As long as we’re designing for humans, we’ll always need human designers. Moreover, AI technology offers exciting new possibilities for better, more inclusive user experiences. It’s all about learning how to make AI work for you (that’s where we come in!).

In this blog post, we’ll explore seven ways UX designers can use AI to their advantage; from analyzing real user data, to elevating prototypes with branded color palettes.

• How is AI impacting the UX design industry?
• 7 ways UX designers can use AI to their advantage
• How accurate is AI in UX design?
• Which AI tools are best for UX design?
• Key Takeaways

How is AI impacting the UX design industry? 

Artificial intelligence, or AI, is a form of technology that essentially allows machines to think, reason, and complete tasks in a way that mimics human intelligence. AI is all around us; from automated customer service chatbots, to recommending products based on browsing history. 

By automating the jobs usually done by humans, AI is revolutionizing the tech industry—and UX is no exception. AI helps UX designers automate mundane tasks, such as categorizing user actions, predicting future behaviors, and extracting relevant insights from large volumes of user data—which, in turn, leaves more time for fine-tuning the final product. 

Instead of creating trial and error approaches or using predefined rules, AI tools also enable UX designers to develop predictive models based on user data—and automatically apply them to their designs. This level of personalization allows for more sophisticated, user-centric digital products. 

So where does all this leave UX designers? 

While AI can be a powerful addition to a UX designer’s toolkit, it simply can't replace human empathy. At its core, UX design will always be about developing a deep understanding around human needs—and creating functional, enjoyable products that reflect daily human experiences. A big part of UX design is also leading workshops and collaborating with stakeholders across the business, something AI won’t replace any time soon. 

Not only are UX designers’ jobs safe, but the World Economic Forum actually predicts that AI will create 97 million new jobs by 2025. In short: AI is here to stay—and it can even make UX designers' lives easier. Which brings us to the next section…

7 ways UX designers can use AI to their advantage 

Now that we’ve got some background into the rise of AI, let’s look at seven ways designers can incorporate AI tools into the UX design process.

1. Analyzing user data

With AI tools like Research AI, UX designers no longer need to comb through data manually. Instead, they can quickly gather and analyze large volumes of user data with ease. 

Using powerful algorithms, AI can predict user behavior, track page visits and engagement, and detect patterns in user data that might otherwise go unnoticed. By reducing the time it takes to process user data, UX designers can quickly gain insights into how users behave and interact with their product—allowing them to make informed design decisions. 

2. Creating user personas

AI can help UX designers quickly create data-driven user personas by providing them with valuable user insights. For example, AI tools like Smartone can conduct sentiment analysis of users’ discussions on social media channels and forums—and turn those sentiments into actionable insights. 

By combining these insights with existing user profiles, UX designers can create user personas that help them fine-tune their designs for maximum impact.

3. UX and product writing

With an array of writing tools to choose from, like Writer and Copy AI, AI is quickly bridging the gap between design and content. Instead of populating wireframes and prototypes with ‘Lorem Ipsum’ placeholder text, designers can now generate meaningful, audience-specific copy that’s optimized for both search engines and users alike. 

AI can also suggest words based on context, so designers can access richer language with less research needed.

4. Automating design workflows

A growing number of UX designers are using AI tools like Brainpool to streamline design workflows. AI-driven automation can create repetitive features, validate data inputs, and assemble design elements through pattern recognition. AI algorithms can also quickly adapt to new environments, enabling designers to generate concepts faster and build smarter workflows that lift heavy design burdens. 

AI-powered analytics can also give UX designers real-time feedback on their designs, helping them identify areas for improvement.

5. Adding UI elements & branding

AI tools offer a wide range of features that can help UX designers elevate their designs with UI elements and branding. For example, programs like Adobe Sensei provide access to a vast library of icons, logos, typefaces, and color palettes that can be modified to reflect the brand. 

Some AI color-picking tools also use powerful algorithms to suggest the perfect colors for any design based on simple inputs (like a brand logo or image). This same technology can also help UX designers choose typefaces that complement the visual branding and UI design. 

In the absence of UI designers, these tools allow UX designers to create sleek, professional user interfaces. 

An example of an AI-generated illustration

6. User testing & prototyping

AI algorithms like Visualeyes can assist in the user testing process in a number of ways; including quickly identifying potential user behavior patterns, providing complex simulations of user activities while accounting for a range of possible input scenarios, and automating traditionally time-consuming processes—like gathering user feedback. 

With a better understanding of (and predictions around) how users interact with the product, UX designers can iterate on their prototypes for post-launch success. 

7. Helping designers move out of ‘paralysis mode'

With so many moving parts involved in the UX design process, it’s easy for projects to stall when getting off the ground. This is especially the case when UX designers are working solo or in small teams. 

AI tools like Vas can help UX designers move out of ‘project paralysis mode’ by providing useful starting points. With a few prompts and inputs, designers can bring their ideas to life with AI-powered wireframes, user insights, and even structured project outlines. Without having to start from scratch, UX designers can focus their energy on refining and iterating the product for optimal user experience.  

How accurate is AI in UX design?

It’s important to note that AI isn’t perfect. The technology is relatively new, and (like humans) is still prone to inaccuracies or mistakes. As the demand for AI-driven user insights grows, it's becoming increasingly vital to fact-check the results you get—especially before making a final decision about big changes or updates to the product. 

Luckily, there are tools that can help you verify your AI data; like automated bots, third-party services, or even good old Google search. You can also fact-check AI data against real-life studies produced by credible data analytics agencies. 

AI might be good for quantitative data, but qualitative research—like user interviews, focus groups, and card sorting—should always be conducted by humans, with humans. Comparing AI data analysis with your own user research is a good way to assess the accuracy of the AI tools you’re using, and provides a more complete insight into your users. 

Which AI tools are best for UX design?

As we’ve explored, there are endless reasons to incorporate AI into your UX design process. But with so many AI tools currently available—and new ones cropping up almost every week—where do you start? 

Here’s a quick roundup of five AI tools to add to your UX toolkit: 

ChatGPT 

Best for: User research 

No matter where you look, there’s one tool that seems to dominate the conversation about AI tools: ChatGPT. ChatGPT is popular across industries, but it’s proved its worth as a design assistant—especially when it comes to user research. By mining data from conversations between customers and chatbot agents, ChatGPT uses natural language processing to identify patterns in customer behavior and preferences. 

Khroma 

Best for: Color palettes 

Khroma helps designers create beautiful, on-brand color palettes in just a few clicks. Admittedly, color palette generators aren’t new—but Khroma takes it one step further by learning which colors you like (and dislike) and using complex algorithms to generate limitless options. You can also create color palettes based on images or mood boards, and tweak shades to your preference with customizable sliders. 

Jasper 

Best for: Product copy

Copy and design go hand in hand—and together with design, the right words make a huge difference to the overall user experience. But designers don’t always have the luxury of a product copywriter at their disposal, especially in a project’s early stages. 

With AI writing tools like Jasper, you can do away with dummy text and instead generate custom copy that still sounds human. You can also play around with keywords, tone of voice, and audiences to create compelling headlines and value propositions—turning a ‘copywriting from scratch’ job into a much faster editing job. 

Fronty 

Best for: Turning designs into code

As the world's first image-to-HTML converter, Fronty uses AI to generate source code from a given image or screenshot in a matter of minutes—saving oodles of hours in the long run. Fronty also has a no-code editor that allows you to create, edit, and launch complex websites without having to hire a web developer. 

Uizard 

Best for: Prototyping

Uizard is an AI-powered all-in-one design tool that helps you visualize, edit, and test your designs. All you need to do is upload an image or design mockup, and it automatically generates interactive prototypes complete with animations and transitions (without any coding required). You can even scan your paper wireframes, and the tool will digitize them for easy, collaborative editing. 

Key takeaways

AI can be a powerful tool in any UX designer's stack. With automated processes and complex algorithms, AI can shed light on key insights that might otherwise be overlooked—and help UX designers create tailored, personalized digital experiences in weeks rather than months. That’s not to say that you need to use AI in every stage of the product design process; but it’s worth experimenting with different tools to understand how AI can help you best reach your design goals—especially if you want to get ahead of emerging trends. 

If you’re a junior designer or recent UX graduate, rest assured that demand for human UX designers isn’t slowing down. In fact, anything but: According to the Bureau of Labor Statistics, demand for UX designers will continue to grow for the next eight years. 

Keen to break into UX design this year? UX Academy is an award-winning, fully online, bootcamp that equips you with the UX/UI skills and portfolio you need to launch a new career in the field of UX/UI design.