How can AI be used to Design a Better UX?

Various industries are now adopting AI to enhance user experience in a variety of ways. Large enterprises, especially the industry leaders, are investing in AI to stay ahead of the competition curve, provide relevant and exceptional customer services and products, as well as to transform many back end processes. In a customer-centric era, user experience (UX) is a vital business attribute since it allows us to know how the audience interacts, what are their needs and expectations, and how those are met. At present, through the latest AI and machine learning innovations, brands have powerful new means of delivering a better UX. Besides, a good UX design is necessary to create a positive experience for users so they will stay loyal to a brand.

When the UX research platform UserZoom conducted a survey, they found out that 80% of UX executives believe that UX design and AI are the future of user experience. Hence without a doubt, this is evolving to be a hot trend for 2020. Brands want to make the UX of their products more intuitive, more about people’s experiences, and user friendly. For this, they need to focus on conversation, personalization, and visualization. The conversation aspect of AI designed UX should have an emphasis on making AI bots driven interaction more humanistic and less robotic. It must be value-oriented, and the user ought not to feel misunderstood or affronted by the AI. Then for a personalized experience, context is crucial. A user interface that asks clarifying questions and provides feedback will give users the confidence that the brand product actually puts an effort to understand them. Lastly, visualization is important in a UX design as it helps to make sense of complex and large data for the users through visuals feed.

AI and UX together can revolutionize the workings of a business, since the capabilities of AI guarantee user satisfaction and credibility. It starts with intelligent algorithms of AI that can process information about site visitors or app users, metadata from interactions with the users to gain insights, and adapt itself according to it through continually learning and adjusting. AI eliminates one-sided testing approaches and relies on A/B testing models to remove bias and concentrate on opinions or requests that are in the majority. Other metrics used to develop a clear picture of user behaviors and interests include device users are on when they visit a website, user location, session time and length, pages visited, products viewed, bounce rates, exit pages, and many more.  Also, AI can create numerous design variations to respond to users quickly using the right tools. For instance, Netflix employs AI to improve UX to determine the most compelling imagery to use for its range of TV shows and movies. This is done via content localization, where its system tracks engagement data for different graphic layouts and program banners. Other AI approaches that are taken into consideration while designing an enhanced UX are Emotional AI, chatbots, and analysis of impact advertisements and other complex data.

To sum up, AI helps to improves UX by creating more reliable human connections. It helps brands to earn customer trust through better UX designs that take minimal input and gives maximum outcome. Using AI designers can now see the outcome of their work without having to finish the whole project and with less time spent on the sketching job. Some of these prototyping AI-UX tools are Uizard, MockPlus, and Airbnb.