
Foresight x Greenside AI
Concept work bridging launch monitor data with AI swing analysis. One session, one key issue, one actionable thought.
Role
Contract Product Designer
Timeline
1 Month
Company
Greenside AI
The Gap Between Data and Understanding
Foresight Sports tracks what the ball does. Greenside AI analyzes why. Launch monitors give you ball speed, spin rate, carry distance, twelve data points per swing, but they don't tell you what you're doing wrong. Pose estimation captures your body mechanics frame by frame, but it doesn't know what those mechanics produce. Nobody had connected the two.
This was a 1-month contract engagement to design that connection. A golfer walks up to the range, picks a club, and hits five swings. Foresight captures the ball data. Greenside's AI tracks their body through each swing using pose estimation. The system correlates both, finds the pattern, and gives them one thing to work on.



From Twelve Data Points to One Thought
A range session generates a lot of numbers. Five swings, twelve data points each. That's sixty measurements before the AI even gets involved. The whole point of this product is to funnel all of that down. Session data becomes a pattern. The pattern reveals a key issue. The key issue traces to a biomechanical cause. The cause becomes one actionable coaching thought.
The progress flow tracks each swing as it's captured, then surfaces the full session results in a table so the golfer can see their numbers. But the table isn't the destination. It's context for what comes next.



Seeing Yourself in the Fix
The key issue screen is where data turns into coaching. It names the problem in plain language, "blading the ball," and bridges to the biomechanical cause. From there, the golfer gets one thought to take back to the range. Not a lesson plan, not a video library. One thing.
We explored two visual directions for the cause and fix screens: real golfer photography and a 3D mannequin model.






This was concept work delivered as a design partner. It didn't ship, but the thinking is sound: connect the data streams, distill the noise, and give people one thing they can actually use.





