How we use AI as a UX design agency (and how you can, too)

#1 Streamlining user journeys

Every user has a goal; it’s a designer’s job to guide them to it.

Mapping out the journey you want users to take helps uncover any pain points in the process and identify areas for improvement.

This can be a long and arduous task, especially if you’re working on a large-scale product with a variety of target customer personas.

We use AI for these user journeys to automate the process of:

• Creating flow diagrams
• Generating personalized recommendations
• Providing insights for improving the overall user experience that might have otherwise been overlooked

 

By streamlining user journeys through AI, we’re able to create more intuitive, efficient, and enjoyable experiences for users.

#2 Automating (some) UX research methods

There is no real replacement for talking to your users.

That being said, there are still a lot of aspects of UX research that can be automated to streamline your workflow and improve efficiency.

For instance, during discovery, AI helps us:

• Automate A/B testing
• Assists us in our personalization efforts, enabling us to gather insights and deliver customized experiences at scale

It also helps us in user feedback analysis by making sense of large amounts of qualitative data that we would otherwise have to comb through manually and establishing underlying patterns, common themes, or outliers.

#3 Generating relevant in-app copy

Words have power, but it can be hard to come up with the right ones.

Generating relevant in-app copy is a critical aspect of UX design, especially when you’re at the stage where lorem ipsum no longer passes muster.

AI tools can significantly aid in this process. LLMs in particular have grown increasingly capable of:

• Analyzing the user data you provide
• Understanding related prompts
• Generating high-quality copy that aligns with your product’s vision and brand voice

These tools use NLP or natural language processing techniques to create in-app messages, tooltips, and micro-surveys that guide users and address their needs effectively.

This reduces repetitive and time-consuming tasks and empowers us to focus on the more creative and strategic aspects of our work.

 

#4 Personalized product tours and walkthroughs

Having personalized product tours or walkthroughs is considered good practice, especially for complex products with a large variety of features like Slack or Trello. They’re invaluable in helping both first-time and expert users navigate through all the services you’re offering.

However, working on designing and delivering those services doesn’t leave you with a lot of time to come up with walkthroughs for them as well.

AI plays a significant role in creating these personalized experiences. Depending on the tool used, it can:

• Automate the process of creating explanatory visuals to go with your text
• Summarize and paraphrase lengthy technical documentation
• Provide in-app chatbot support during the tours themselves

Ensuring that users receive relevant and targeted guidance increases their engagement and overall satisfaction with the product.

#5 Efficient data analysis

The world runs on data. UX design is no different.

Efficient data analysis is crucial in UX design, and AI can greatly enhance this job by:

• Analyzing large volumes of user data rapidly
• Extracting valuable insights from it that can be used to inform design decisions

Since AI is capable of handling both quantitative and qualitative data, UX designers can gain a deeper and more comprehensive understanding of user behaviors, preferences, and pain points.

By automating data analysis, AI eliminates manual effort and accelerates the identification of key trends and user insights.

Looking to the future

If you’re still unsure about how exactly to use AI as a UX designer in your daily workflow, we’ve also written about the specific AI tools we use that contribute to the success of our design process.

And if you’re on the fence about using AI in the first place, you might be interested in hearing our thoughts on how deeply AI and UX are actually connected.

Change is the only constant, and the only guarantee we can make about AI is that it will continue evolving. We’re evolving alongside it. So if you’re an innovator trying to do the next big thing in AI — we’d love to hear from you about what you’re working on.