From a static sleep report to an interactive understanding of sleep health

SleepFit uses a chest-worn device to track what happens while you sleep, capturing a range of sleep, respiratory and cardiac biomarkers. I worked on turning the existing PDF-based sleep report into an interactive in-app experience, making the data easier to explore and understand.

The goal wasn’t simply to move the report from PDF to app. It was to rethink how complex sleep data could be structured, visualised and presented in a way that actually made sense to a consumer.

SleepFit already had a lot of useful data, but users had to go through a 37 to 40 page PDF to make sense of their night. Each biomarker was given roughly the same amount of space, with a visual, a long definition and additional interpretation, making the report feel more like a technical document than something designed for everyday use.

From our user research, one thing came through quite clearly. People wanted to interact with their sleep data, not just read through pages of it. The challenge was figuring out how to make all that information useful without making the experience feel even more overwhelming.

From our user research, one thing came through quite clearly. People wanted to interact with their sleep data, not just read through pages of it. The challenge was figuring out how to make all that information useful without making the experience feel even more overwhelming.

Going through the existing report made one thing clear to me: not every piece of sleep data needs the same amount of attention. Users needed a clear starting point, with the option to go deeper when they wanted to understand something in more detail.

This shaped the hierarchy of the experience. Sleep health became the primary focus, followed by respiratory and cardiac insights, while related biomarkers were brought together so users could understand how different parts of their sleep connected.

The first thing users see after completing a sleep session is a consolidated view of the previous night. I wanted this screen to answer the most basic question first: how did I sleep?

So I brought the sleep score, sleep quantity and a few of the most relevant biomarkers together in one place. This gave users a quick read on their night without having to navigate through individual metrics.

Once users wanted to look deeper, they could explore their biomarkers across Sleep, Cardiac and Respiratory. Instead of presenting them as one long list, I grouped related information together and created a consistent structure for each category.

I introduced day, week and month views so users could move between a single night's data and longer-term patterns. The same biomarkers could be explored across different timeframes, making the experience useful beyond the morning after a single sleep session.

For me, the most rewarding part was taking something that felt technical and dense and turning it into an experience that felt approachable. It changed the way I think about designing products where the data is complex, but the person using it shouldn't have to be.