We may have the best application in the world, but if the design is not easy and attractive, no one will use it. Users demand tools that meet their needs and are very easy to use. This is why we could say that Big Data is important in UX / UI design. And it is that users are giving us clues about the design that best suits them.
Large companies are constantly striving to adapt their applications, websites, and products to meet user demands. This is why, in recent years, we've seen a growing demand for Big Data specialists and UX/UI specialists . And we mustn't forget that the ultimate goal of any business is to sell.
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Introduction
To create an engaging user experience, you start with having data and then make informed decisions. By analyzing a large amount of data, business owners and UX / UI professionals can develop a more efficient user experience in applications.
For some time now developers, designers and entrepreneurs show more interest in the contextual use of UX elements. Parameters such as location, user preferences, situation or interaction pattern, among others, are attributes of individual contexts.
Thus the analysis of large amounts of user data on these elements is essential. Through these we will obtain a user experience design with contextual analysis.
The volume, speed and variety of data generate Pettabyte or Exabyte of data on a daily basis. Such volume and data speed are no longer a surprise. The most important thing is how we make sense of this vast amount of data.
We can choose to increase the precision in decision making or predictions based on the information obtained from digital fragments. But the key will always be the context.
It is smartphones that generate the largest amount of data. This is due to its intrinsic nature as a personal device that accompanies us everywhere. The context at this point plays a very important role in decision making.
How Big Data in the mobile experience
Big Data in many aspects is crucial in order to develop an optimal user experience. When it comes to mobile user experience design, focusing on data can make things better for users. Some of these aspects could be:
- Big Data helps the developer or developers to know the customer better. By knowing the customer better, we can provide an optimized user experience for the target audience
- Thanks to Big Data we can have a deep understanding of customer behavior. This allows us to obtain more meaningful interactions
- Through Big Data we can have a marketing approach based on a series of data. We have customer behavior and contextual analysis regarding location, preferences, interest, etc.
Focus the data based on the prediction of needs
The UX / UI design in the end is nothing more than a bridge between the end user and the analysis of the data. Big Data has the great potential to tell us what user behavior is. Such information is a great treasure that can make a positive difference in user interface design.
Thanks to the knowledge gathered through a large volume of data, a UX / UI designer can develop a solution for the user according to their situations and personal needs.
We can say that user experience design makes sense of the large amount of data collected, giving it shape and meaning. But it is that the analysis of the data offers crucial data such as where and when a service is required. It also offers us information on how the user ends up interacting with it. This is especially the case in mobile commerce.
Within e-commerce applications, good user experience design is crucial. We base the UX / UI design on prediction to help customers. We make it easy for them to access 'desired' products and services in the way they like best, where they are and when they need it.
If we focus the shopping data on retail niches, we can provide more data for the user experience. We can provide more valuable information on user behavior and purchasing patterns. This further reinforces the need for a UX / UI designer to work closely with a Big Data analyst.
The mobile user experience will not only improve the personalized shopping experience in e-commerce, it will also help in the contextualization of push messages.
Big Data visualization in UX / UI design
Data visualization is where Big Data and UX / UI join forces to offer an intuitive and creative way to represent information. In the end, the way to visualize data is nothing more than the visual presentation of the data through a graph or similar.
The user does not want to see a large amount of text, he wants simple elements that can be seen quickly. The screen of smartphones is small and the user can be on the move, so he does not want to read much and may barely pay attention to the screen. This is why representing complex data in a simple and visual way in mobile applications is so important.
At the end of the user experience design you are looking to convert the data into graphics or vivid images. It is an intuitive method of distilling data into graphical patterns that can be quickly viewed and interpreted. Usually putting complex information in the form of a graphical presentation offers significant value to the user
Contextual data: Big Data analysis in UX / UI design
We must bear in mind that user behavior is not always predictable. There are situations in which a high rate of closure of an application cannot be explained. Applications, in most cases, are uninstalled forever. Normally this happens for certain aspects in the user experience.
Items like forms can take too long and can be one of the causes of losing interest in the application. Indiscriminate push applications do not make sense to the user and can lead them to consider the application as annoying and distracting.
Taking a long time to fill out a field of a form and forces the user to find certain information, the user may end up discarding it. This is a clear example of the importance of context in UX / UI design. The user experience must take into account the cost of searching for the information and the time to fill out the form.
Aspects such as individual location and usage pattern can also generate different reactions from the user. User data from various sources can provide useful information on the variety of user contexts. Through this data we can customize the design for the user experience.
It becomes clear that decision making in Big Data is based on precise models and patterns to a large extent. Contextual analysis gives us data on the real behavior of people in mobile applications, helping to generate large predictive models. All this data feedback helps guide the design of the user experience to be as optimal as possible.
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