If you’re working as a designer, a UX/UI developer, or a creative person in general, the term “data-driven” is certainly one that you have seen or read in the past. Clients – businesses and corporations – are leaning heavily on data when making decisions, including decisions about design and user experience.

While data-driven design is becoming more commonly used in various processes, there are still a lot of misconceptions about this term and the actual implementation of it. To help break some of those misconceptions, here are the three things you need to know about data-driven design.

Data Is There to Support You

Design is mostly about art and intuition. Many designers don’t really like the idea of data-driven design out of fear of their creativity and intuition being replaced by data and facts. This is actually a mistaken way of seeing data-driven design as a whole.

Instead of data replacing your creativity, data-driven design lets designers confirm their intuition and their understanding the target audience with the help of data from various sources. Most of the time, what you think will work for the target audience will be confirmed by the research conducted by data scientists.

Many students who are studying computer science at top universities such as New Jersey Institute of Technology are learning about design and UX basics as part of this new trend. Computer scientists, researchers, and designers can now work seamlessly together in creating the best designs (and user experience) for the audience.

Data Isn’t Complicated

Another common misconception about data-driven design is designers thinking that they’ll have to go through numbers and complicated spreadsheets when designing a user interface or a visual material. That prospect is indeed daunting, even for myself as a UX specialist.

No; you don’t have to worry about being forced to understand numbers or do calculations. You have the computer scientists and researchers – graduates from top names like the NJIT Online – assisting you every step of the way.

The most complicated set of data can now be visualized and made simple. You can find out more – and learn – about the target audience through deep learning, big data, and AI-assisted analysis. In the end, you know exactly the kind of design that will work, all without reading a single number.

Data Speeds Things Up

One last misconception we are going to debunk is designers thinking that data-driven design is an overly complicated process that takes too long to complete. It may appear to be complicated at first, but data-driven design is more straightforward than you think.

You can get the design right on the first run, which means you save a lot of time (and resources) by not having to make changes or deal with revisions. At the same time, you have more control over evaluating the effectiveness of the design, including deciding the right changes to make for refinement.

When implemented correctly, a data-driven design approach is every designer’s heaven. With a strong data and computer science team supporting your work, you can produce wonderful things with your designs.

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