Why a UX profile needs to know about data analysis |
Posted: May 9, 2024 |
Data analysis is one of the core skills for anyone involved in the design process of any product or service. And although it may seem like it is one of the most important skills for researchers and product managers , in reality, it is also crucial for UI UX design agency . Because? Very simple: it introduces a layer of objectivity for any decision that has to be made, facilitating the process and avoiding biases that, more often than we imagine, can make a decision take longer unnecessarily. However, a reminder: it is important that the data is of sufficient quality to be used in decision making . Or the decision will take us to the wrong point.
How to use data to make design decisions Although it may seem that design and data analysis are two unrelated disciplines, they actually complement each other very well. The use of data in design has four possible applications that are more than well defined by the AMBOSS Engineering, Product and Design team in a post on their blog on Medium :
With this on the table, getting started with data is just a matter of finding the tool that best suits your needs. One of the easiest cases to understand the impact of data on design is that of heat maps . Supporting the decision to place elements on the qualitative information offered by this tool is a good way to make decisions objectively and see the impact of those changes. Data, design and iteration Thanks to the data, you can also identify opportunities for improvement : a deviation that causes the data of a certain screen to be below average can give us clues to improve the design, both visual and content. Access to data allows us to understand many issues that are fundamental to design work. And although there are many concepts in the analysis that can be useful to know, grouping the main statistics will help you ask your questions in the right way:
With these four categories, you will be able to use quantitative data (based on numbers such as visitors, number of conversions) and qualitative data (based on other issues, such as the origin of visits, heat maps or even user flows) to understand how users behave. users of the product and, with this, make the best decisions, document them and guarantee that they always adjust to the needs of the product and users.
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