Relative Effort

Most athletes on Strava knew they were working hard, but they couldn't see it adding up. Our team set out to find a new way for athletes to track cumulative training load across any sport, personalized to their own capabilities rather than compared to the broader Strava community. The challenge wasn't just visualizing complex data — it was making that data feel human enough that athletes actually knew what to do with it.

Most athletes on Strava knew they were working hard, but they couldn't see it adding up. Our team set out to find a new way for athletes to track cumulative training load across any sport, personalized to their own capabilities rather than compared to the broader Strava community. The challenge wasn't just visualizing complex data — it was making that data feel human enough that athletes actually knew what to do with it.

Design lead · UI · UX

Strava's most powerful training feature — Fitness & Freshness — was locked behind a steep learning curve. It lived only on the web, at a time when athletes were moving exclusively to mobile, and it was so data-dense that most people didn't know what to do with it. Understanding your own progress felt like homework.


Through a process of interviewing 16 athletes, we learned that people weren't struggling with motivation — they were struggling with interpretation. The data felt like something you needed a coach or a degree in sports science, to understand. Athletes were doing the hard work. The tools just weren't meeting them where they were.


The insight that shaped everything was simple: the data isn't the point — what it's telling you is. Rather than leading with charts and metrics, we led with a plain-language interpretation of an athlete's effort and what it meant for their training. The visualization provided context, but the "coach's insight" drove the experience.


We also made a deliberate choice to personalize effort scores against each athlete's own history, not Strava's user base as a whole. Your hard day should feel hard relative to you — not relative to a professional cyclist halfway around the world.


The result was a training tool that felt empowering to everyday athletes, not just the ones who already knew how to read the data.