How to Use AI to Improve Your UX

how-to-use-ai-to-improve-your-ux

[[p]]Artificial intelligence (AI) is transforming the user experience. But UX is not a one-time task. Rather, it&rsquo;s an ongoing process of placing the customer at the center of your strategy and using customer data to guide business decisions.[[/p]]

[[p]]As customer expectations continue to evolve, businesses need clear [[a href="https://digitalmarketinginstitute.com/blog/10-strategies-for-a-successful-ux-project" target="_blank"]]strategies for a successful UX project[[/a]]. This can be achieved by combining user-centered design principles with emerging technologies like AI to create seamless, intuitive experiences.[[/p]]

[[p]]Consider how many devices people use to search online today. Users can switch between devices in seconds, creating increasingly complex customer journeys. This shift is reflected in the growth of [[a href="https://digitalmarketinginstitute.com/blog/prepare-for-the-future-of-voice-search" target="_blank"]]voice search[[/a]], the widespread use of [[a href="https://digitalmarketinginstitute.com/resources/podcasts/podcast-055-a-chat-about-chatbots-manychathttps://digitalmarketinginstitute.com/resources/podcasts/podcast-055-a-chat-about-chatbots-manychat" target="_blank"]]chatbots[[/a]], and advances in visual recognition technology. Beyond digital channels, AI is also enhancing the in-store experience by helping brands engage customers and influence purchasing decisions through technology.[[/p]]

[[p]]AI is making it easier than ever to design products and experiences that meet evolving customer expectations.&nbsp;[[/p]]

[[p]]In this article, we explore several ways AI can support UX and product designers, marketers, and other professionals in creating better user experiences:[[/p]]

[[ul]]
	[[li]][[a href="#heading_78541"]]Natural Language Processing (NLP) to improve chatbot efficiency[[/a]][[/li]]
	[[li]][[a href="#heading_78542"]]AI image recognition to boost sales[[/a]][[/li]]
	[[li]][[a href="#heading_78543"]]AI for emotional analysis in UX[[/a]][[/li]]
	[[li]][[a href="#heading_78544"]]AI for personalization in UX[[/a]][[/li]]
	[[li]][[a href="#heading_78545"]]AI-driven accessibility features to champion inclusivity[[/a]][[/li]]
	[[li]][[a href="#heading_78546"]]AI-powered behavioral analytics for analyzing and predicting user patterns[[/a]][[/li]]
	[[li]][[a href="#heading_78547"]]AI to extract insights from raw data[[/a]][[/li]]
	[[li]][[a href="#heading_78584"]]AI translation to localize content[[/a]][[/li]]
	[[li]][[a href="#heading_78586"]]AI for rapid prototyping and iteration[[/a]][[/li]]
	[[li]][[a href="#heading_78588"]]AI to enhance copy and content[[/a]][[/li]]
	[[li]][[a href="#heading_78552"]]Conclusion[[/a]][[/li]]
[[/ul]]

[[p]]Good user experience is all about simplifying the users&rsquo;&nbsp;journey and helping them complete tasks with minimal effort.&nbsp;[[/p]]

[[p]]From chatbots that offer instant support to predictive analytics that anticipate user needs, AI actively transforms how users interact with products or services today. By embracing the power of AI, you improve UX and foster stronger, lasting relationships with your users.[[/p]]

[[p]]Artificial intelligence is a game changer for marketers as it helps personalize, optimize, and automate many key marketing activities. Our&nbsp;[[a href="https://digitalmarketinginstitute.com/students/short-courses/advanced-ai-in-digital-marketing" target="_blank"]]short advanced AI course[[/a]] (with practical AI tool walkthroughs) will help you understand the fundamentals of AI and use key tools for research, content development, data-driven decision-making, and creative design. Get started today![[/p]]

[[p]]Interaction with computers is rapidly becoming more human-friendly thanks to advancements in NLP.&nbsp;[[/p]]

[[p]]NLP makes it possible to interact with machines the same way we interact with other people in the form of a dialog, using plain words. This helps reduce the effort users need to invest in interacting with a product.&nbsp;[[/p]]

[[p]]The better computers understand natural language, the more human-friendly interactions become because people don&#39;t need to remember commands or interaction patterns.&nbsp;[[/p]]

[[p]]Industry leaders already use the power of AI-powered chatbots in areas like customer support to improve customer experience and cut costs.&nbsp;[[/p]]

[[p]]One good example is Klarna, a fintech company specializing in online financial services. It effectively cut its workforce by nearly half with AI: the Klarna AI assistant powered by OpenAI [[a href="https://www.klarna.com/international/press/klarna-ai-assistant-handles-two-thirds-of-customer-service-chats-in-its-first-month/" target="_blank"]]handled two-thirds of customer service[[/a]] chats in its first month. It is more accurate in errand resolution, which has led to a 25% drop in repeat inquiries.[[/p]]

[[p]]Image recognition is a technology powered by AI that enables systems to identify and classify objects, people, text, or scenes within images or videos.&nbsp;[[/p]]

[[p]]Previously, this technology was used purely in scientific contexts (for example, Google used this technology to classify objects or images on the website). Nowadays, AI image recognition is used in many areas, and it is especially effective in eCommerce.&nbsp;[[/p]]

[[p]]Sephora, a personal care and beauty retailer, is a good example of using AI to drive online and in-store conversion rates.&nbsp;[[/p]]

[[p]]The company offers Virtual Artist, a technology that allows customers to try thousands of Sephora products from the mobile app. Sephora Colour Match, available in stores, assists customers in shade matching and provides product recommendations across its range of products.&nbsp;[[/p]]

[[p]]Both technologies take on a role that once belonged to store assistants, and it&#39;s clear that this technology benefits users as [[a href="https://www.theglimpsegroup.com/case-studies/sephora-increases-online-make-up-sales-by-35-percent-with-virtual-try-on-experience" target="_blank"]]Sephora increased online make-up sales by 35% with a virtual try-on experience.[[/a]][[/p]]

[[p]]AI brings the opportunity to build a new, more human-centered interaction with technology. Imagine a digital interface that adapts not only to your behavior but also to your emotions.&nbsp;[[/p]]

[[p]]One good example is facial expression analysis. The camera in your mobile phone or laptop can analyze your facial expression in real-time and offer content that works best for you.&nbsp;[[/p]]

[[p]]Instead of one-size-fits-all products, we will get products tailored to our specific needs at the moment. The user experience adapts to the user and their needs, rather than the user adapts to UI.&nbsp;[[/p]]

[[p]]This technology can be applied in various contexts, from general purposes to educational contexts. Streaming services like [[a href="https://digitalmarketinginstitute.com/resources/case-studies/spotify" target="_blank"]]Spotify[[/a]] use this technology to great effect to understand users&rsquo; likes. AI technology can be very effective for virtual classrooms: in Hong Kong several schools are using a new tool that can &#39;look&#39; at students&#39; faces while they&rsquo;re studying at home to gauge how they respond to classwork (whether they feel happy by learning a new subject or not). This helps make the virtual classroom as good as the real thing.[[/p]]

[[p]]But it&#39;s also possible to analyze emotions simply by analyzing voice alone. Vocal cues, such as tone, pitch, speed, volume, and speech patterns, can identify the speaker&#39;s emotional state.&nbsp;[[/p]]

[[p]]By combining what is said with how it is said, the system gains better accuracy in emotion detection. Considering that about 20% of people worldwide use voice search (Statista), this technology becomes critical as it directly impacts user satisfaction.&nbsp;[[/p]]

[[p]]By incorporating contextual information, such as prior interactions, it&#39;s possible to enhance emotion recognition. For instance, if a user has previously shown frustration in a customer service call, the system might weigh future vocal cues differently.[[/p]]

[[p]]Personalization is the process of tailoring product experiences to meet the preferences, needs, and behaviors of individual users. It allows businesses to enhance user satisfaction, increase engagement, and build brand loyalty.&nbsp;[[/p]]

[[p]]However, the rise of AI moves personalization to the next level. Nowadays, tech giants use personalization in all sorts of contexts, from product recommendations for online shopping with the likes of Amazon to to-do reminders, navigation directions, or weather updates, like with Apple&rsquo;s Siri. Streaming giant [[a href="https://digitalmarketinginstitute.com/blog/the-unstoppable-success-of-netflix" target="_blank"]]Netflix[[/a]] analyzes user preferences (e.g., watch history and search patterns) to suggest shows that align with individual interests. It might show its entire selection of popular comedies to users who prefer lighter genres and a more intense visual for those who frequently watch thrillers.[[/p]]

[[p]]If you&#39;re looking for ways to introduce personalization to your products, consider trying CleverTap or Dynamic Yield. Both these platforms allow for the creation of personalized customer experiences based on demographics, behavioral patterns, and real-time actions, fostering deeper user engagement. Dynamic Yield employs advanced AI models, such as Shopping Muse, to predict customer behavior and deliver relevant recommendations across the web.[[/p]]

[[p]]Good product design is accessible design. [[a href="https://digitalmarketinginstitute.com/blog/digital-accessibility-what-marketers-need-to-know" target="_blank"]]Accessibility design[[/a]] makes it possible for users with all abilities to interact with your product. Its accessible design requires a lot of investment from the product team. However, AI can help with many tasks, such as content localization. For instance, YouTube utilizes AI to generate automatic captions for videos and provide subtitles in multiple languages to enable content to reach a global audience.[[/p]]

[[p]]In [[a href="https://digitalmarketinginstitute.com/blog/ai-tools-for-creating-a-website" target="_blank"]]web design[[/a]], AI can help with the following routine tasks:&nbsp;[[/p]]

[[ul]]
	[[li]]Alt tags with descriptions for images: Not only does this make the website more accessible for users who use screenreaders, but it will also make the site more SEO-friendly as search engineers analyze the image description in alt tags.[[/li]]
	[[li]]Automatic text-to-voice translation: This is helpful for users who prefer the audio version of the content&nbsp;[[/li]]
	[[li]]Dynamic font style and text size adjustments: This allows users to adjust these aspects based on their preferences, or to suit their low visibility needs.[[/li]]
	[[li]]Automatic video chaptering: AI can automatically identify key sections within a video and offer shortcuts to the sections. This allows viewers to navigate content more efficiently.[[/li]]
	[[li]]Image recognition: Computer vision technology, integrated into apps like Be My Eyes and TapTapSee, assists visually impaired users by identifying objects, reading text from images, and describing scenes.[[/li]]
[[/ul]]

[[p]]Behavioral analysis is an integral part of product design. The more accurately products align with the user behavior and expectations, the better user experience. Previously, the product team had to collect a massive amount of data, categorize it, and extract valuable insights from it. Now, AI tools have massively streamlined this process.&nbsp;[[/p]]

[[p]]Tools like FullStory and Hotjar leverage machine learning to analyze user behavior on websites and mobile apps and offer practical recommendations for optimizing user experience.&nbsp;[[/p]]

[[p]]FullStory provides in-depth session replay capabilities which product teams can use to observe user interactions in real time and identify pain points through detailed heatmaps and conversion funnels. It&#39;s also possible to use this information to optimize web layouts to maximize the efficiency of operations or align UI text to resonate with individual users.[[/p]]

[[p]]Hotjar combines heatmaps, session recordings, and user feedback tools to reveal how visitors engage with content. AI analyzes user clicks, scrolls, and mouse movements to create heatmaps that highlight high-engagement areas.&nbsp;[[/p]]

[[p]]Other tools like Attention also predict eye movement before real user testing. All these help teams understand user behavior and preferences, and it&#39;s particularly helpful when the team wants to optimize individual design decisions such as labels for call-to-action buttons.[[/p]]

Screenshot of Klarna AI assistant chatbot. Source: Klarna

Sample screen of Sephora site. Source: Sephora

4 Little Trees analyzes facial expressions of students. Image from CNN

‘Hot’ and ‘cold’ engagement areas visualized in a scroll heatmap (left) and a click heatmap (right). Image by Contentsquare.

[[p]]Regardless of the industry, businesses collect large amounts of customer data to inform decision-making, enhance customer experiences, and support growth. By analyzing this data, particularly with the help of AI, organizations can uncover valuable insights and identify opportunities for improvement.[[/p]]

[[p]]AI can analyze existing user data, such as customer behavior within a product or feedback shared through online reviews, to detect patterns, highlight pain points in the user journey, and reveal areas where the experience can be optimized.[[/p]]

[[p]]AI-powered analytics platforms, such as FullStory, can make this process more efficient by using advanced algorithms to automate data analysis and surface actionable insights.[[/p]]

[[p]]If your business serves multiple markets, localization is essential for both user experience and search visibility. AI translation tools are making it much easier to adapt content for different regions quickly and at scale, helping brands publish localized websites, product pages, and support content without the long delays of traditional translation workflows.[[/p]]

[[p]]This matters because localized content often performs better in-market than English-only content. According to Lokalise, 63% of global companies are optimizing localized content for AI search visibility, and 45% report stronger visibility in fully localized markets compared to English-only regions.[[/p]]

[[p]]For example, companies like Airbnb, Skyscanner, and Crowd Farming have used AI-assisted localization to expand into more languages, improve turnaround times, and deliver a more consistent experience across global audiences.[[/p]]

[[p]]AI is also transforming the design process by accelerating prototyping and iteration. Tools like Uizard and Figma&rsquo;s AI features can turn prompts, screenshots, or rough ideas into editable wireframes and interactive prototypes in minutes, allowing teams to explore multiple design directions much faster than with manual workflows.[[/p]]

[[p]]This is especially useful for product teams that need to test ideas early and often. For example, Figma&rsquo;s AI prototyping capabilities help teams move from concept to testable design quickly, making it easier to compare onboarding flows, landing pages, or dashboard layouts before committing development resources. The result is a faster design cycle, more user feedback, and fewer costly revisions later in the process.[[/p]]

[[p]]AI is rapidly becoming an essential assistant for UX writers and product teams. It helps create clear, consistent, and user&#8209;centric copy at scale&mdash;everything from error messages and button labels to onboarding flows, tooltips, and calls to action tailored to different user [[a href="https://digitalmarketinginstitute.com/blog/the-beginners-guide-to-defining-buyer-personas" target="_blank"]]personas[[/a]] and product contexts.[[/p]]

[[p]]Instead of drafting every microcopy from scratch, teams can use AI to generate strong first drafts, test multiple variations, and refine messaging based on real user behavior. This speeds up the content creation process, improves readability, and strengthens the overall user experience.&nbsp;[[/p]]

[[p]]Several AI&#8209;powered tools are now built specifically for UX writing and microcopy generation.&nbsp;[[/p]]

[[p]]Here are some of the most practical options:[[/p]]

[[ul]]
	[[li]][[strong]]Frontitude:[[/strong]] A UX writing assistant that integrates with Figma to suggest copy directly inside your designs. It helps you write button labels, error messages, tooltips, and onboarding text that fits your space and tone of voice, reducing the back&#8209;and&#8209;forth between designers and copywriters.[[/li]]
	[[li]][[strong]]Prowriting:[[/strong]] A Figma plugin focused on UX&#8209;driven copy generation. It helps teams generate and refine CTAs, navigation labels, and microcopy while keeping the wording concise, clear, and aligned with product goals.[[/li]]
	[[li]][[strong]]Writer: [[/strong]]An enterprise&#8209;focused AI writing platform that supports UX copy, in&#8209;product text, and documentation. Writer can generate error messages, onboarding copy, and CTAs tailored to specific user segments, and it can also help maintain brand voice consistency across all touchpoints.[[/li]]
	[[li]][[strong]]Jasper:[[/strong]] A versatile AI copywriting tool that works well for UX ideation. You can quickly generate multiple variations of CTAs, onboarding instructions, or error explanations, then pick the ones that best match your UX goals and test them in live flows.[[/li]]
	[[li]][[strong]]Error Message Generators (River, Voil&agrave; AI, DocsBot, Beam): [[/strong]]Specialized tools that generate clearer, user&#8209;friendly error messages from technical descriptions or error codes. These tools help UX writers and developers turn confusing system messages into helpful, empathetic copy that guides users toward a solution.[[/li]]
[[/ul]]

[[p]]ChatGPT / Claude: Generative&#8209;AI assistants you can guide with prompts like &ldquo;Write 5 friendly error messages for a payment failure in a banking app&rdquo; or &ldquo;Suggest 10 onboarding CTAs for a SaaS free trial.&rdquo; You can then refine the outputs in your design system or content guidelines.[[/p]]

[[p]]And why is this important? According to Zendesk, about [[a href="https://www.zendesk.com/newsroom/press-releases/more-than-half-of-consumers-feel-service-is-an-afterthought/" target="_blank"]]70% of customers[[/a]] report making purchase decisions based on the quality of their customer service experience.&nbsp;[[/p]]

[[p]]By hiring an AI-powered chatbot, companies can optimize the customer support service, processing customer requests faster and with greater accuracy.[[/p]]

Translated screens of Crowd Farming app with the help of Lokalise, reducing 20% of translation costs and improving 60% of sales in one market. Source: Crowd Farming

[[p]]In practice, this means faster launches, better engagement, and stronger conversion potential in non-English markets. AI tools with translation capabilities like DeepL and Perplexity or platforms like Lokalise can easily do this but don&rsquo;t forget to have a human oversight for the final product.[[/p]]

How to Use AI to Improve Your UX

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Nick Babich