Over the years, there has been consistent development in technological innovations and inventions of digital products and how they are created to solve human problems. The mindset of creating solutions for human needs has made mankind explore depths in technology, yet we are still unearthing new depths.
This problem-solving mindset is what forms the role of the UX designer. The UX design process employed by UX designers hinges on providing solutions for man in an easy-to-use format. Thus, consideration for human accessibility and usability of products is a core virtue for UX designers. This is why UX designers continually look for ways to make products simpler for users.
Meanwhile, in the quest to make products usable and easy for man, we have seen a newer invention to enhance users’ product experience: artificial intelligence technology. Devices built on this artificial intelligence technology require little to no human effort to operate, making complex tasks simple for users.
However, since UX designers focus on creating user-centered products, the design of the artificial intelligence technology works via a process that preempts users’ responses, actions, and behaviors, thus automating these predicted responses in a usable format.
Thus, if you are a UX designer in the artificial technology space, you must have a solid grasp of the users’ behaviors and pain points before designing predicted responses for your product.
In this article, I will explain the role of a UX designer, the core UX design processes you will need to enhance artificial intelligence, and how artificial intelligence technology can benefit the UX design process.
Who is a UX Designer?
A UX designer is someone who is concerned with the entire development journey of a product. The UX designer’s role is to create a product that is usable and accessible to a specific target audience.
UX designers are responsible for the experience a user has with a product. This is why they must have verified data of the user group they intend to design a product for before developing ideas to birth the solution. As related to this article, having verified user group data is an important feature that can make or mar the design of a product built on artificial intelligence, as we will soon see.
How to Create a User-Centered Artificial Intelligence Product as a UX Designer
As a UX designer in the artificial intelligence industry, your job is to create a product that resonates with users’ behaviors and actions. This is a job you don’t want to do because the product’s success depends heavily on how well you know your users.
The beauty of artificial intelligence is that it can provide answers, suggestions, and responses as a human being would. Now, this looks complex if you look at it from the standpoint that humans have various questions and which machine would predict the multi-varied personalities of human beings and prepare responses based on each person’s peculiarity.
Well, that is where you come in as a UX designer in artificial intelligence. You can leverage certain UX methodologies to help you design a user-centered artificial intelligence product.
Useful Tips and Methodologies for UX Designers in Artificial Intelligence
Carry out in-depth user research
User research is the sole of any product that will offer a great experience to users, let alone when it is a product that is meant to preempt human behaviors. User research helps you discover insights into how users cope with their pain points without your proposed solution. This will help you understand their responses and give you insights into the data to work with in designing the product based on artificial intelligence.
Moreso, user research helps you discover how to create the user interface of the AI product in a way that your users can relate to; else, you might have an AI product with great functionality but poor usability. Thus, as a UX designer in artificial intelligence, it is important that you put your users first.
Read also: Why UI Cannot Survive Without User Research
Create different prototypes
Now, you might not get a uniform response during your user research, and you cannot simply ignore the minority group in your user research; rather, you can think of creative ways where they can also enjoy the product without much stress.
Also, note that human beings have different responses to different situations. Thus, you cannot afford to be monotonous in your design samples. Instead, you have to create different prototypes for different situations. Prototypes are cheap samples of your product that you can use for usability testing before deciding on a final product style. Tools like Figma, Adobe XD, Webflow, Invision, Origami studio, etc., can help you with prototyping.
Conduct multiple usability tests and iteration
You cannot afford to guess when designing artificial intelligence; Artificial intelligence thrives on data, not guesses. Thus, it is not enough that you have conducted detailed research; you must be sure that the results of your research are tested and verified. The only way to do this is by conducting usability tests on your user group and iterating repeatedly.
As the name implies, usability tests are simply testing your prototypes on your user group to see how well they can use the product without supervision. When conducting usability tests, you don’t need to give extra guidelines to your users since you won’t be with them to direct them when the product is finally launched.
Usability tests help you discover things you might have missed out on during the user research. It also gives you insights on how to improve automated responses.
After this, you can keep iterating based on the feedback from your usability tests till you can get positive experience feedback from your users.
The relationship between UX design and AI is a two-way thing. UX design is necessary to create an artificial intelligence product that can empathize with users’ needs and preempt their responses based on the methods of the UX designer.
AI, in turn, can help UX designers simplify their processes by automating the UX design methodologies in terms of research, prototyping, etc. However, even these will still need the creative ability of a UX designer.
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