User research & discovery

I focus on both UI and UX, but always from a user perspective. The goal isn’t just to make things look better, but to make them clearer and easier to use. That starts with understanding user needs through research and real feedback, so design decisions are grounded in actual behavior.

I work with prototypes early. Clickable flows help us test ideas quickly and gather feedback before committing to final designs. I always rely on data. Looking at interaction patterns and drop-offs helps me identify friction and validate whether changes actually improve the experience.

The process is iterative. We refine based on feedback and performance. I don’t see design as a one-time delivery it evolves based on how people actually use the product.

My bookshelf user test:

In one of the projects I had the opportunity to work on, we conducted a user test involving 380 participants from our Swedish panel. Our goal was to understand how users interacted with our platform, specifically their bookshelf.

Each user was given a straightforward task: select two books from their collection that they had spent the most time with. Once they made their choices, they were asked to rate these books and answer a series of additional questions.

The results of this user test provided some fascinating insights. We discovered that there was intense competition among four different versions of the content we offered. However, one version, "Large Bookshelf v3," stood out as the clear winner, achieving a remarkable success rate of 55%. Even the lowest-performing version managed a respectable 48% success rate.

We also noticed a particular user behavior pattern. Those who took the time to carefully scroll through all the books on their virtual bookshelf, evaluating their options before making a selection, tended to perform exceptionally well in the test. This behavior often led them to discover hidden gems waiting at the bottom of the shelf.

These findings not only shed light on user preferences and behavior but also offered us valuable insights for optimizing our platform, content, and user experience. It was an exciting project that allowed us to fine-tune our offerings based on user feedback and behavior.

We used the user test data to make concrete improvements. The best-performing version, Large Bookshelf v3, got more prominent placement and tweaks.

We also improved the interface to encourage users to explore their bookshelves more naturally, since scrolling behavior correlated with better engagement. Finally, we looked at adding features like book ratings and short questions to boost interaction and gather more useful data for future iterations.

One opportunity for improvement was the placement of the progress bar. In response to user feedback, we relocated the progress bar under the book cover to enhance the overall user experience. This adjustment improved the visual hierarchy and made it more convenient and intuitive for users to track their progress within the audiobook.