In the last decade, Artificial Intelligence (AI) models increased their training speed 100 million times, a breakthrough not possible without constant human intervention. This transformative power reaches into the user experience (UX) world, allowing designers to focus on creative strategies while delegating the more operational tasks to AI.
This turns out to be a panacea for the UX-related development team. All the time spent on these tedious, low-impact tasks can be used to rethink better experiences and add value to the final product.
Indeed, AI is positioned as an excellent co-pilot. It facilitates research by processing data and sorting out feedback.; it drives creative ideas during the ideation phase and contributes to the automation of design tasks. Far from being seen as an impostor, it should be seen as a collaborator, providing good overall results but needing guidance on more specific aspects.
The blank-page paralysis
In particular, testing tasks automation is aided by this technology, which results in a higher-quality digital product.
Another benefit that AI brings to all creative activities is that it helps to combat the “blank-page paralysis” syndrome. In the initial stages of research, when the designer is creating “from scratch” it is necessary to review numerous reports, videos or online documentation.
Instead of spending hours searching and filtering, the UX designer can access in a very short time the information he needs to quickly generate assumptions and hypotheses that he will then validate with real users. All of the above applies to continuous discovery.
The importance of knowing how to ask
AI is key for the team responsible for creating the digital product to quickly obtain information about how users interact with your product, pain points and strengths, to make decisions that positively affect the product.
Another aspect in which AI can play an important role is in the creation of user personas. One can act on the information gathered from the analysis of behavioral patterns in social media and other channels. When these patterns are combined with existing user profiles it is possible to understand people more accurately and generate a greater impact.
One of the most important points to consider when using AI is knowing how to give instructions. In this sense, the prompt is the point of interaction with this highly sophisticated system, the space where the request or the query is sent to be submitted to obtain a specific answer.
A clear context and concrete examples are fundamental elements to ensure that AI has an accurate understanding to then provide the deliverable we expect, be it text, image, video, or any other type of output. To put it simply: a well-delivered instruction will make a difference.
Faster, higher ROI
The fusion of AI and UX translates into faster app creation, with consequent cost reductions. It also empowers and streamlines the iterative process of any project. Thus, it not only promotes more personalized experiences but also enables a higher quality product.
However, it is important to note that AI is just a backup tool that makes suggestions that help achieve optimal results. The presence of experienced and professional UX designers is essential to contribute know-how and add value and to analyze, filter, and validate AI suggestions, selecting those that truly enhance the deliverable.
The challenge is how to use the available expertise to devise strategies that can then be implemented at high speed with the help of AI.
AI is here to stay and is already revolutionizing the UX world. Looking ahead, development teams must learn to “team up” with this innovation so that, in the end, end customers win.
This is not an option, but an unstoppable trend. AI will not replace UX designers, but a UX designer who harnesses the power of AI will.