Strava's Athlete Intelligence Translates Workout Data into Simple and Personalized Insights
Strava
Strava launched Athlete Intelligence, an AI-powered feature available as a public beta to subscribers, which analyzes and interprets workout data across pace, heart rate, elevation, power, and Relative Effort into simple, personalized insights and guidance. The feature spots 30-day performance trends, detects milestones such as fastest pace or longest distance, and offers tailored feedback for each activity, drawing on more than 10 billion activity uploads on Strava.
Overview
Strava launched Athlete Intelligence, an AI-powered feature available as a public beta to subscribers, which analyzes and interprets workout data across pace, heart rate, elevation, power, and Relative Effort into simple, personalized insights and guidance. The feature spots 30-day performance trends, detects milestones such as fastest pace or longest distance, and offers tailored feedback for each activity, drawing on more than 10 billion activity uploads on Strava.
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Inspect the highlighted sourceThe challenge
Athletes using smartwatches or mobile phones generate complex workout data across pace, heart rate, elevation, power and Relative Effort that can be difficult to understand and translate into actionable insight.
The solution
Strava launched Athlete Intelligence, an AI-powered feature available as a public beta to subscribers, which analyzes and interprets workout data into simple, personalized insights and guidance immediately after a run, ride, walk or hike. It aggregates data trends from the past 30 days, detects milestones such as fastest pace, longest distance, highest Relative Effort and biggest climb, and offers tailored feedback drawing on more than 10 billion activity uploads on Strava.
Reported business value
Athlete Intelligence is available globally in 14 languages as a public beta, helping athletes of all levels spot 30-day performance trends, understand time spent in specific pace/heart-rate zones, celebrate milestones, and receive personalized feedback for their next activity.
Sources
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