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From Data Geeks to People Peeps: AI's Human Twist on UX

January 4, 2024
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With the vast advancements in AI technology, more businesses than ever are incorporating its power into their workforce. While some use it to process large volumes of data, others hope to get inspired by its creative solutions. That’s why this article will focus on AI's human twist on UX and how it can turn data geeks into people peeps.

We’ll elaborate on how AI-powered user research and data-driven insights can lead to a more user-centric design. Furthermore, we’ll highlight the benefits of combining AI and human empathy during this process and how they can help your business. Using artificial intelligence for UX research can easily turn your team of data geeks into experts in user behavior.

Continue reading to discover the benefits of AI-driven UX and its influence over data-driven decision-making!

The Importance of Data-driven Insights

Before we elaborate on how AI tools can turn data geeks into people peeps, we want to emphasize the importance of data-driven insights. Understanding your user’s behavior and needs is the first thing you should do if you want to tailor your product or service to your audience. By putting yourself in the customer’s shoes, you’ll successfully identify pain points and areas of improvement.

Even though you may have experience in your field, you can’t rely on your intuition without backing it up with facts. Each user persona has unique demands that should be addressed. Thus, conducting targeted user testing is essential for gathering the required information.

Once the data has been gathered, an experienced team of data geeks can sort and extract key points. While it may sound easy, reviewing large volumes of data takes a lot of time and effort. During the process, it’s easy to misplace or overlook crucial data, which can lower your chances of finding the ideal strategies and solutions.

Having substantial insights to base your data-driven decision-making on will ensure your product or service relates to a broader audience. Making the necessary optimization changes can improve user satisfaction and gain the audience’s trust.

Bridging Data and Empathy

After elaborating on the importance of data-driven insights, we want to highlight the advantages of bridging data and empathy. While many businesses strive to reach good results on paper, combining AI and human empathy can lead to more creative and effective solutions. So, how can you maximize the potential of AI tools with a hands-on approach?

First, artificial intelligence can review large volumes of data, which allows UX researchers the time to focus on more important matters. Some AI-based platforms, like User Evaluation, allow you to generate insights from your transcribed content which you can then organize to your preference. With an intuitive Kanban board, AI tags, notes, and content sources, you’ll have a better overview of your findings.

Once you’ve organized your data, you’ll have more time to analyze it and find ideal solutions. Whenever you come across a confusing insight, you can rely on the AI chat to explain it. This way, you’ll easily understand the user behavior and intent and save time from deciphering the context.

Even though the term data geeks may indicate the lack of needed social skills to determine the best course of action, AI tools can fill in all the missing spots. 

AI's Impact on UX Research

With the various opportunities artificial intelligence has to offer, we want to highlight its impact on UX research. As mentioned, the numerous features that AI tools offer are designed to make the research process easier for real-life people. By automating the insights-gathering process, you or your team won’t have to manually deal with large volumes of data.

By doing so, AI impacts the UX research process in the following ways:

  • Easier data analysis
  • Enhancing creativity
  • Quick organization

Source: freepik on

Easier data analysis

With the ability to review large volumes of data, using AI technology in UX leads to faster and easier data analysis. Since all the needed information will already be reviewed by the AI software, you’ll only need to double-check its findings and note the key information. As mentioned, you’ll even have a virtual assistant that can add its input on the findings and provide you with data-based answers for any questions you may have.

Enhancing creativity

The use of these AI tools is also believed to enhance the creativity of the UX research team. Since the monotonous and repetitive process of gathering data will be dealt with, you’ll have more time to focus on finding creative solutions. Spending all your time deciphering data limits your ability to seek innovation and experiment with different strategies to achieve the ideal outcome. 

Quick organization

Gathering all the needed information on a single AI platform ensures a quick and efficient organization. As mentioned, platforms like User Evaluation offer various features to help with this process. This way, you won’t lose track of your findings and you can easily allocate the required content sources. Not only will this accelerate the time needed to execute the research, but it’ll also allow you to keep track of even the smallest details.

Challenges and Considerations

Even though AI tools offer numerous advantages, there are still some challenges you must be aware of. While artificial intelligence is ever-evolving, it still requires real human input to deliver the appropriate results. Thus, you should have an experienced team to monitor the process and double-check the findings.

That being said, here are the most common challenges for using AI tools in UX research:

  • Lack of empathy
  • Lack of personalization
  • Biases

Lack of empathy

The biggest disadvantage of AI tools is their lack of empathy. Even though this technology uses advanced machine learning, it won’t be able to relate to the emotions behind the user’s wants and needs. 

As already mentioned, the best results are always reached when bridging data and empathy. Thus, it’s up to your UX research team to determine the right course of action from the gathered insights. Having experience in this field allows the team to come up with the ideal solution for the consumers’ problems because they’ll be able to relate to them. 

Lack of personalization

The second factor you should consider is the lack of personalization. Even though AI tools can help you brainstorm ideas based on the gathered data, they won’t be able to fully personalize the product or service to best serve the users. That’s where the experience of professional UX researchers comes into play.

Those who’ve worked in this field for a long time are well-informed about the changes and trends in the industry. Thus, they’ll have insights into the best personalization methods for the targeted audience. By crafting a unique and efficient product or service personalized for the customer, your company can experience improvement in user experience, conversion rates and reliability.


Lastly, relying solely on artificial intelligence can lead to biases in the final product design. When using AI tools, always remember that the systems rely on trained data and models. Thus, it doesn’t have the needed skills and knowledge to decide which outcomes are best when it comes from an ethical standpoint.

Without having an expert team review the solutions the AI comes up with, the final product design may be unfair or even discriminatory toward your audience. Not only can this issue prevent some of your potential customers from engaging with your product or service, but it may also affect your overall brand reputation. 


After discovering AI's human twist on UX, you can easily see how these tools can turn data geeks into people peeps. With numerous features available, AI tools can ease and accelerate the research process. Furthermore, some platforms are designed to help explain the context behind specific insights, giving you a better understanding of the users.

With all the required information at hand, you’ll then be able to come up with creative and innovative solutions for your product or service. The myth that data geeks lack the needed social skills to deliver the needed results can easily be debunked with these AI tools at your disposal. 

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