Artificial intelligence has permeated various fields including user experience design and UX research. Many believe that UX research is one of the most time-consuming tasks of a user experience designer, which is generally done manually.
However, with artificial intelligence and tools made for this purpose, this research can be done more efficiently, in a shorter time, and more accurately. Artificial intelligence technology today has brought possibilities for UX researchers and designers that were previously unimaginable.
Critics of the use of artificial intelligence in UX design believe that artificial intelligence is still not smart enough and has a lot of room for improvement. If you are one of the people who think like this, read this article till the end to learn about the 5 effects of artificial intelligence in UX research. And see how this exciting technology is leading to further developments in user experience design.
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Benefits of using artificial intelligence in UX research
1. Increasing speed
Artificial intelligence allows UX designers and researchers to focus more on the strategic and creative aspects of their research. Using smart tools, designers plan and conduct their research more effectively. They also allocate more time to the interpretation and analysis of data and a deep understanding of user behavior.
Artificial intelligence can identify hidden patterns and connections in data and help designers adopt evidence-based and data-driven approaches to user experience design. With this detailed and in-depth approach, designers make better decisions in the field of providing optimal experiences for users and improving the user experience of products.
Therefore, with the help of artificial intelligence, UX designers and researchers gain valuable insights faster and increase the quality and creativity in the design process.
2. Save money
UX research costs can be saved to a great extent by using artificial intelligence. With an AI-based design platform, the product designer will be able to improve their research data and share it with other team members. This means creating a coordinated and collaborative team between researchers and UX designers, who can use data to provide better approaches to designing and improving the user experience. This type of collaboration and knowledge sharing will reduce duplication of work and improve efficiency, as well as reduce costs associated with UX research.
Therefore, AI helps the designer to spend more time on research and deeper analysis of data and UX insights. And by reducing the costs associated with research, it allows the design team to make the most of their budget.
UX researchers in the research process may have different methods of conducting and documenting information. One of the important advantages of artificial intelligence in UX research is that no matter what method user experience researchers use, the important thing is that the use of intelligent tools in UX research will create consistency.
Continuous use of artificial intelligence in various studies and projects means that reliable results are obtained. And they can be compared with the results of other similar projects. As a result, using artificial intelligence and data analysis, a whole set of information is collected, which helps the design team in developing and improving the user experience.
Specifically, this information includes user patterns, behavior, needs, and preferences. This information is used to improve products and services, make better decisions and optimize user experience processes.
4. Easy to use
Using artificial intelligence in user experience research is easy. Because the designer does not need deep technical knowledge in the field of artificial intelligence to work with the tools. Algorithms and AI tools can be used and easily adjusted on different platforms and tools. The UX designer can manage their research data and perform the required analysis using a simple and understandable user interface.
In addition, the use of artificial intelligence can help product designers improve the quality of research. By analyzing data and taking advantage of the predictive power of artificial intelligence, product designers can gain a better understanding of user behavior and improve user experience.
As a result, the use of artificial intelligence in user experience research is not only easy and accessible but cooperation with it allows the designer to improve research methods, increase the accuracy of analysis and create reliable results. The product designer creates the best user experience for his audience by using the power of artificial intelligence and has superior competition in the market.
5. Higher quality
Using AI platforms in UX research helps you get better results. These platforms allow the UX designer to plan and formulate the steps and activities of his study, including determining the purpose and research questions, choosing the appropriate methods of data collection (for example, surveys, interviews, or user tests), developing scenarios and questionnaires, determining the samples and selecting the study participants. , time planning, and resources are needed; do it.
In this way, the use of artificial intelligence allows the UX designer to conduct user experience studies on a larger scale and wider scope.
Introducing 5 of the most useful artificial intelligence tools in UX research
Below are five popular user experience research tools. These tools are evaluated based on surveys and user comments. These tools work based on artificial intelligence and machine learning and can analyze data and provide useful information about the user experience.
1. Optimal Workshop
Optimal Workshop is a complete platform for user experience research that allows the product designer to use a variety of tools to collect data, design, and evaluate the user experience. This platform includes tools such as card sorting, sitemap, tree testing, and user tests.
One of the distinctive features of Optimal Workshop is its simplicity and ease of use. With this tool, the product designer can easily set up different tools and collect the data he needs. Optimal Workshop provides facilities for analyzing data and results. This information helps the UX researcher gain a better understanding of their users’ needs and issues.
UserTesting is a powerful tool in the field of user experience. This tool helps the designer to get real feedback from users about the website, mobile app, and other products. By using this tool, the product designer can directly interact with users and hear their opinions, preferences, and experiences about using the product.
One of the distinguishing features of UserTesting compared to its competitors is its ease and speed of use. With this tool, you can easily design research questions and quickly get user opinions. Also, UserTesting provides the UX designer and researcher with the facilities to record all the activities and conversations of users. This information helps the product designer to more accurately understand what users are engaging with and what issues they run into during their experience.
Using Hotjar, you can monitor user activity on your website and gain a better understanding of their behavior and needs. This tool includes features such as mouse movement analysis, heat maps, and surveys.
One of the prominent features of Hotjar is the video monitoring of users’ activities. Using this feature, the UX designer can record and review videos of how users interact with their website. This feature helps to understand user behavior and identify obstacles that may cause problems in the user experience.
4. Crazy Egg
Crazy Egg is a web analytics tool. And it helps to check user behavior on your website and identify design strengths and weaknesses. Using heatmaps, charts, videos, and detailed reports, you can identify where users are paying the most attention, as well as problems on pages.
Sonar provides information about user behavior, page loading speed, SEO factors, and website technical issues. One of the prominent features of Sonar is the comprehensive analysis of page loading speed. This tool measures the loading speed of each web page and identifies problems related to it. This information helps to improve website performance and provide a better user experience.