Business: Big Data

In Part 1 of this series, I discussed some outdated UX design strategies and their limitations. Primarily because of a lack of information, those strategies have often resulted in flawed user experiences that hurt businesses.

Leveraging Big Data to Improve UX Design Strategies

It is imperative to understand one thing: no tool can tell you the exact solutions to the problems with a platform user experience. But, having said that, the rise of big data has given many businesses the opportunity to gain access to data that can be helpful during strategy development.

Big data gives businesses the benefits of informed decision making. Product development used to be an art, but with big data, it has become a science. Thus, Part 2 of my series explores some different ways in which businesses can acquire relevant data to improve their UX designs, as well as some key points to remember when designing a platform user experience. Read More

Despite all the talk about data-informed design, there is not much agreement on what data really means for a product or service’s user experience. That might be because teams don’t yet have a shared language for talking about data, or because access to data is uneven or siloed, or perhaps because team members have different goals for the use of data.

At its core, data-informed design can be difficult to define, because there is not even agreement on what counts as data. We tend to think in dichotomies: quantitative and qualitative, objective and subjective, abstract and sensory, messy and curated, business and user experience, science and story. But the more I work with data and the more familiar I become with the data-science community, the more inclusive my definition of data becomes. Read More

Data-driven design lets designers create user experiences that rely heavily on data analysis to inform their design decisions. In today’s digital world, big data has become a valuable asset for businesses seeking to understand their customers better and enhance their digital user experiences. The use of big data in UX design has become increasingly important as the demand for personalized and seamless digital experiences continues to rise.

Gone are the days when UX design was based solely on intuition and guesswork. Today, designers have access to vast amounts of data that can provide valuable insights into users’ behaviors and preferences. They can use this data to optimize user experiences, drive engagement, and increase conversions.

In this article, I’ll explore the rise of big data in UX design and how it has transformed the way designers approach the creation of digital experiences. I’ll also discuss benefits and challenges of data-driven design and provide some practical tips for implementing a data-driven approach to UX design. Read More