Clarity over volume.
One useful priority is more valuable than a page of unexplained numbers.
Our story / Chicago, IllinoisBuilt close to the cage.
Built close to the cage.
And closer to the problem.
SwingInsight grew out of a familiar coaching challenge: the lesson ends, but the work of explaining it, organizing it, and building on it is just beginning.
The coaching perspectiveGive good coaching
Give good coaching
somewhere to go.
Swing Science Hitting Lab in Chicago brings coaches, players, parents, and training technology together every day.
SwingInsight is built around those relationships. A coach should be able to capture an observation, connect it to the athlete’s history, and give the family a useful next step without rebuilding the story after every session.
That is the purpose of the platform: keep the coaching connected, make the feedback easier to understand, and help the next lesson start with context.
The coach stays the coach.
AI can help with the drafting and organization. The expertise, the priorities, and the final judgment belong to the person doing the coaching.
Our design principles01 02 03
Context over certainty.
Make it clear what was measured, observed, or suggested.
People before process.
The workflow should support the coach, the athlete, and the family.
See what your program
could look like.
Explore coaching observations, sensor-driven reports, and how the two work together. We can use sample data from one or multiple supported sources.