










The client
Greenside AI analyzes golf swings. Its pose estimation tracks a golfer’s body through each swing, frame by frame. This project connected it with Foresight Sports launch monitors, which measure what the ball does.
The challenge
A launch monitor records twelve data points per swing, including ball speed, spin rate, and carry distance, but it can’t tell golfers what they’re doing wrong. Pose estimation sees the body but not the ball. Greenside wanted to put the two together.
A session is five swings. The product had to turn all of that data into one thing a golfer could go and practice.
My role
I designed the range session from start to finish: picking a club, capturing the swings, reviewing the numbers, and the coaching that follows. At the end of the month, I handed the designs off for development.
The app, feature by feature
The range session
A golfer picks a club and swings. Foresight measures the ball while Greenside’s AI tracks the body, and the app counts the swings until the session is done.
Choose a club.
Wood, hybrid, iron, or wedge sets up the session.
Swing.
Pose lines over the golfer show what the AI is tracking.
Keep count.
A row of dots counts the swings recorded so far.
Session complete.
Every swing is captured, and the golfer can view the results now or later.
See the numbers.
Carry, club speed, ball speed, and total distance for every shot.





Down to one thought
After the numbers, the session narrows to one key issue, its cause in the swing, and one thought to take back to the range.
The key issue.
Named in plain language, with the strike data behind it.
The cause.
Traced to the swing, with the golfer’s spine angle beside the ideal range.
One thought.
A single cue to practice, shown on the golfer’s own swing.



Two ways to show the fix
I designed two treatments for the cause and the fix: pose lines drawn on the golfer’s own swing, or the same guidance on a neutral 3D figure.
Lifting during the backswing, drawn on the golfer’s own swing.
