User experience has become one of the top priorities in the digital marketplace. Not only does it affect the brand’s reputation, but it can also give you insights into unforeseen pain points and overlooked areas of improvement. Since the success of any business is based on customer satisfaction, UX research is crucial for understanding your audience and how they interact with your product. That’s why this article will focus on reviewing the best AI tools for UX research and highlighting their unique features.
Being well-informed about what these platforms offer will help you choose the right ones for your business needs and goals. With various research tools available online, it can be troublesome to keep track of the latest advancements and their benefits. Thus, it's important to understand how they deal with data analysis and affect the product design process.
By having this detailed UX research tools comparison on your side, you’ll save time on finding the best solutions and will be able to get straight down to using artificial intelligence for your business. Continue reading to discover the top 10 AI tools for UX design and what they have to offer!
Best AI Tools for UX Research
Based on thorough research, here are the top 10 AI tools for UX research you should check out:
1. User Evaluation
One of the best AI-powered UX research tools found online is User Evaluation. This AI-driven platform acts as a powerful solution for UX research and customer understanding. As a fairly new product that appeared on the market in 2023, it left a lasting impression on its users. With a vast variety of features available, it’s praised for its flawless AI-powered insight generation and lightning-fast transcription.
As mentioned, User Evaluation offers a variety of features designed to help during the UX research process. The ones that have the biggest impact and benefit are the following:
Multimodal AI chat
AI reports and presentations
Enhanced audio/video player
The biggest advantage of using this platform for UX research is the AI-generated user insights. Regardless of the data volume, it can extract the most important information in seconds. By using insight templates, you can keep track of your findings and apply tags and notes with content sources.
With robust transcription services, this AI tool can transcribe video, audio, text, and CSV content from 57 different languages. Once you’ve extracted the needed information, you can organize it to your preference thanks to the intuitive Kanban board.
Whenever you feel stuck during your research, you can turn to your personal AI assistant for help. This intelligent AI-driven chat has the power to understand your data, help you brainstorm ideas, and create text-rich reports with visual graphics based on your instructions.
If you have a big presentation coming up, this AI can create PPTX documents enriched with AI-curated insights and data visualizations in just a second.
The second user research tool you should try out is Kraftful. Similar to User Evaluation, this platform uses AI software to automatically categorize user reviews. This allows you a clear overview of the user experience while also highlighting key information. Furthermore, it can craft AI summaries from various sources, including call transcripts, app store reviews, and support tickets.
Mainly focused on automatically gathering and analyzing user reviews, Kraftful offers several features based on the audience’s needs:
AI user review summaries
GPT-3 powered solutions
The main benefit of this product is the use of AI technology to analyze and identify the user’s preferences and needs. It also allows you to measure the effectiveness of your product over time and to compare your results with those of the competitors. Having such an advantage can help you plan future strategies more efficiently and make data-driven decisions.
Kraftful also features a chat that can help answer your questions based on the gathered data. However, remember that the answers are limited only to the user reviews you’ve uploaded on the platform. The easy integration and data linking allow the users to quickly import data and use their favorite tools during their research.
The only downside of this product is that many users have experienced outdated information during the results. For example, some of the bugs they’ve already fixed kept reappearing in the reviews.
The third AI research tool on this list is Looppanel. It’s widely known for its ability to create fast and efficient transcripts from user interviews. Thus, it’s mostly used for quickly going over important interviews and gathering key information from them.
Like the previously mentioned tools, Loopanel offers several unique features that can aid in the UX research process:
AI notes for user interviews
Shareable video clips
Easy sharing option
Unlike User Evaluation, Looppanel can only transcribe your content from 8 languages, including English, Dutch, French, German, Spanish, Italian, Portuguese, and Hindi. Even though the transcription process is slower and takes around 5 minutes, it’s highly efficient and trustworthy.
The most beneficial feature that Looppanel offers is its AI notes. This allows the users to focus on the interviews themselves while the AI captures the most important moments. Additionally, you can make time-stamped notes even during live interviews to not miss any crucial information.
When in need, you can easily auto-record calls from multiple platforms, including Zoom, Google Meets, and Teams. Besides being able to embed your videos on Confluence, Jira, and Notion, you can also share your report summaries via a link.
QoQo.ai is an AI tool specifically designed for UX research. It’s most suitable for the early stages of the product design process because it aims to create an organized picture of the user experience. Moreover, the biggest reason why UX researchers use this platform is due to the opportunity to quickly generate journey maps and user personas.
As mentioned, the main goal of the QoQo.ai platform is to give you a clear picture of your target audience. For that reason, it offers several features to simplify and accelerate the process:
The most important feature is the ability to craft detailed user personas based on your input. These cards can include various information, including user needs, goals, tasks, motivations, and frustrations. Combining them with the generated journey maps will give you insight into the key elements of the product design, such as the risks and challenges.
Furthermore, QoQo.ai allows you to speed up the discovery time and gather information from public knowledge. It aims to help users generate new ideas and produce meaningful designs without many complications.
The downside of this platform is that it requires you to conduct your own user research for the best results. Thus, it doesn’t have the same automation process as the previously mentioned AI research tools.
The next AI tool on this list is Userdoc. It’s another splendid AI-powered platform that focuses on generating user personas and tracking their journeys. Even though it’s similar to QoQo.ai, it offers its users a unique opportunity to generate user stories and acceptance criteria.
This platform is best used during the discovery and scoping phases of UX research. Even though it primarily focuses on text-based requirements, it still offers valuable features to its users:
Like QoQo.ai, Userdoc is praised for its detailed user personas. They can include different types of information within them to help you better understand your target audience. Whether it’s backgrounds, motivations, or frustrations, you can input them yourself or let the AI do it for you.
Once you’ve created the personas, you can start crafting their stories and including acceptance criteria. You can easily sync the information with other systems or base your research solely on Userdoc.
The user journeys combine both user personas and stories to give you a detailed explanation of your workflow. To better demonstrate their pathways, the platform includes the touchpoints on who was involved and when.
Sprig is another renowned AI research tool praised for its functionality. It’s mainly used as a product feedback solution by synthesizing feedback from prearranged user tests. Besides quickly generating user insights, it also used AI technology to help with the analysis.
Having the complexity of UX research in mind, Sprig offers a variety of features that cover most of the user research process:
First, this platform allows its users to generate targeted surveys within their products to get real-time insights. Not only can you easily detect the areas of improvement, but you’ll also be able to address the pain points and optimize your product in the future. Furthermore, by allowing the audience to give their input while they’re still using the product can increase the response rate by 30%.
Furthermore, Sprig allows you to conduct browser-based testing to get early insights about upcoming updates. These prototype tests allow you to include multiple designs in one testing session to decide which one works best.
Once you’ve gathered the needed data, you can automatically synthesize the users’ experience through AI. This way, you can easily detect upcoming trends, identify existing patterns, and make changes to your strategies.
Synthetic Users is a platform designed for UX researchers to test their product ideas through AI personas. Even though it’s a fairly new tool, this platform is praised for its capability to conduct research with AI-generated participants who have real-life user behavior and preferences.
Similar to QoQo.ai and Userdoc, this platform focuses on using AI-generated user personas instead of real participants. Through these testing sessions, it also includes several unique features, including:
Product risk mitigation
Without actually having to talk to real people, you’ll be able to generate real insights and feedback from your predefined personas. It focuses on qualitative insights to help businesses with limited research budgets to get the most out of their target audience.
Thus, it’s suitable for creating user scenarios, evaluating product usability, and testing user interfaces. Through the generated insights, you’ll get a clear picture of how the audience interacts with the newly implemented solutions. It also gives you more control over the testing process to ensure you get the results you’re looking for.
Next on the list is Lookback. It’s designed to help UX researchers conduct live interviews and usability testing. Moreover, it’s often referred to as a multi-tasking UX software that uses mixed methods of extracting user insights.
Since Lookback primarily focuses on user testing and interviews, its main features are the following:
Various testing options
The main benefit of using this platform is its testing variety. Thus, the remote usability testing options you’ll find include mobile app testing, prototypes, betas, websites, and live apps.
During live interviews, you’ll have the opportunity to transcribe the content for easier understanding. To ensure the process is as simple as possible, all the video interviews are directly recorded to the cloud so you can easily access them.
Another amazing feature Lookback offers is the collaborative dashboard where you and your team can share your findings. Furthermore, you’ll have access to timestamped notes and a team chat for easier collaboration.
Userlytics is a cloud-based usability testing tool designed to help UX researchers. It’s praised for its ability to define target audiences and aid businesses in optimizing their user journey. By gaining valuable insights from this precise research, you can easily adapt your future strategies to reel in better results.
Similar to Lookback, this platform offers various user testing features to aid your research:
The main feature of Userlytics is its AI-based user testing software. It allows both task-based and usability testing options to get adequate results from them.
That’s why they also provide the users with feedback forms and survey templates for more thorough research. Alongside these research methods, you can also track a wide range of behavioral analytics to better understand your audience.
To keep things simple, Userlytics has a user-friendly interface that allows you to conduct live interviews and record them. If you’ve focused your research on video content, you can then easily transcribe the interviews through the platform’s transcription services.
The last AI research tool in this article is Mouseflow. It’s grown its reputation by combining the use of AI technology with heatmaps and session replays to get efficient user feedback. By tracking and visualizing the user behavior on your websites, you’ll easily find the best UX solutions for your case.
Offering various UX research-based features, Mouseflow is praised for incorporating the following unique tools:
Mouseflow’s main feature is the session replay option. Thus, you’ll be able to track the actions of the users on your website and carefully observe their real customer journey. To make the process easier, the platform also features automatic Friction Scores that guide you through the most important actions taken on the page.
To have a visual representation of the customer’s journey, Mouseflow also offers a heatmap to track user behavior. With it, you can easily collect the user’s engagement pattern, including clicks, movements, scrolls, and live views.
Once you’ve gathered this information, you can then craft specialized conversion funnels for your business. Since you’ll already be aware of the pain points, you can optimize it based on your findings for better results.
Lastly, you can ask for direct user feedback through custom-triggered surveys and further analyze your forms with the form analysis tool.
As mentioned, UX research is an important aspect of any business. It requires gathering and thoroughly analyzing large volumes of data. Thus, it’s often considered a long and complex process because the researchers have to review the audience’s impressions and extract key information from them.
The reason why many businesses turn to AI research tools is because they can automatically sort data and drastically lower the time needed to complete the task. Furthermore, many UX researchers can make use of the unique features these tools offer to simplify the process and achieve better results.
So, before investing your money in an AI research tool, you should always look out for the following elements:
Free trials or plans: it’s best to try using a free plan or demo version to ensure the tool’s quality is up to your expectations.
Privacy policies: since you’ll be dealing with sensitive data, always check if the platforms offer security measures for your information.
Available features: look out for the features that benefit your unique circumstances the most.
Functionality: ensure the platform is up and running precisely before you invest in it. While small bugs can be fixed quickly, major issues may delay your research process.
After reviewing the top 10 AI tools for UX research, it’s up to you to decide which one’s best for your unique circumstances. Remember that each platform offers a unique experience to its users due to the variety of features available. So, before you make a final decision, ensure you’ve done research into which options fit you best.