Design: Data-Informed Design

In the age of artificial intelligence (AI), data is often cited as the new oil—a phrase that data scientist Clive Humby coined in 2006, capturing the idea that data is a resource to be mined, refined, and leveraged for competitive advantage. However, unlike oil, data is abundant, generated continually, and fundamentally tied to human activity and behavior. This abundance has led to the belief that more data would naturally yield better, more intelligent solutions.

However, as machine learning (ML) and predictive analytics are increasingly powering digital products, a paradox emerges: despite the abundance of data, a staggering 85% of AI implementations ultimately fail. This high failure rate reveals a critical disconnect: even with the proliferation of data and the sophistication of AI algorithms, many AI-powered products still deliver experiences that feel impersonal, irrelevant, or even alienating. Read More

Offering a seamless user experience is essential to set your company and its products and services apart in the competitive landscape and establish lasting customer relationships. However, offering an enhanced user experience to your target audience might not be as easy as it sounds.

The interests and preferences of the audience segments you intend to serve change over time, along with the market dynamics. Furthermore, every company competes with many players in their respective industries, who keep optimizing their processes. Therefore, it is of critical importance that you keep an eye on the user experience you offer and identify areas for improvement. But measuring the user experience can be tricky. You must identify the right metrics that reflect your actual performance. In this article, I’ll guide you on how to measure your user experience in the right way, helping you identify your desired level of user engagement. Read More

Artificial intelligence (AI) brings new depth to UX design through its ability to process millions of user interactions and discover subtle patterns in user behaviors. AI tools can analyze clicks, scrolls, and navigation paths, turning raw data into clear signals about users’ needs and preferences. Data guides exceptional design experiences through an exhaustive analysis of users’ behaviors, preferences, and painpoints that we can use to hone future design projects.

The most effective UX designs result from a thoughtful blend of AI-powered analysis and creative human judgment. While AI excels at identifying trends and predicting user behaviors, UX designers contribute the essential human elements: empathy, innovation, and an understanding of context. This partnership between computational power and creative vision points to an exciting future in which data analysis and design can together create exceptional user experiences. Read More