UXmatters has published 25 articles on the topic Data-Informed Design.
In the ever-evolving realm of UX design, there exists a hidden treasure of insights waiting to be discovered. Imagine embarking on a quest for which the map is made of data, and the key to unlocking exceptional user experiences lies in deciphering the numbers that inform us. This is the enchanting world of big data in User Experience, where every interaction with your Web site or app leaves behind digital footprints that can guide you toward creating UX design marvels.
Big data really matters in User Experience—now more than ever. Big data is not about numbers; it’s about understanding users on a deep level.
In the digital age, users leave behind a trail of digital breadcrumbs with every online interaction. These breadcrumbs, when properly analyzed, can reveal valuable insights into user behaviors, preferences, and painpoints. Read More
As a researcher, I want to understand how technology changes people’s lives, not wade through a bunch of data. Like a lot of people, I think in stories rather than numbers; in the tangible rather than the abstract. So, when I made it a goal to understand all of the data about the experiences people have with technology—not just the kinds of data that I was comfortable with—there were some big gaps in my knowledge.
First, I had to cross the threshold of my number aversion. This wasn’t too hard because, even though I love to dive into messy questions, I’m not thrilled with messy answers. I’m still relearning statistics—thanks to Khan Academy and The Cartoon Guide to Statistics—getting more confident with Excel, and gaining some basic skills in Tableau. Read More
The amount of data we produce every day is growing exponentially. This explosion of raw data means synthesis, analysis, and interpretation are more important than ever before. Without the right processes and tools in place to understand and act on our data, it has little value. It is essential that we understand what data is available, how it can answer pressing questions, and how it can enable action.
As UX professionals, we collect a wide array of data through a variety of sources and techniques—from market trends to one-on-one interviews to product-usage data to usability testing to sales feedback. We must collate, classify, and comprehend disparate sources of data to create a more holistic understanding of whatever question we need to answer. While the volume of data might seem overwhelming at first, design thinking and a tinkering mindset are invaluable in helping to break down the problem, define a plan of action, and iterate and refine solutions as necessary to turn the raw data into actionable insights and concrete products. Read More