In a market crowded with wearables that collect data but leave athletes guessing, SwingMotion set out to do something different. Built specifically for golfers seeking fast, measurable improvement, the product combines ultra-precise motion tracking with intuitive, actionable feedback. Ted Britschgi, Brand Ambassador for SwingMotion, shares insights into the gap that existed in the wearables space, how SwingMotion’s technology translates motion into real coaching intelligence, and why this approach is reshaping the way golfers train.
What gap in the current wearables market led SwingMotion to build this product, and who did you design it for first?
We designed SwingMotion to help golfers see direct, measurable improvements in their swing—fast. The gap was clear: many golf wearables struggled with accuracy, leaving players unsure about their performance. SwingMotion solves that problem with advanced IMU sensors that provide the most precise measurements of golf swing movement, helping every golfer improve with confidence.
A lot of sports wearables focus on raw data. How does SwingMotion translate motion data into insights that athletes can actually act on?
It’s not just the data. It’s the training module available after seeing the data, where you can make the correction very quickly.
What makes SwingMotion’s motion tracking different from what athletes might already be using on their wrists or phones?
What makes it different is the speed with which the data is instantly collected after one swing.
Can you walk us through how the technology captures nuanced movement—like tempo, rotation, or balance—without interfering with performance?
SwingMotion is unique in that it’s able to give you the feeling of effective downswing sequencing or the correct order of events to be able to create efficient movement
How does this product adapt to different skill levels, from recreational athletes to high-performance players?
The product is extremely easy to understand and to use, so any player can feel comfortable using the two sensors. The AI feedback is tremendous and makes it easy for everyone.
What role does AI or machine learning play in improving accuracy or personalization over time?
As I mentioned earlier, AI provides students with instant feedback they can apply immediately during training. It makes the learning process simpler and more effective—essentially, a coach in a box.
Were there any surprising insights or behaviors you uncovered during beta testing that shaped the final product?
The insights I found were that students were able to make changes much faster than any other training aid I’ve used in the last 30 years
How does SwingMotion fit into an athlete’s existing training ecosystem—coaches, apps, routines—rather than trying to replace them?
I would disagree with the premise of this question, as, for the most part, I think SwingMotion would replace many training aids and other training protocols coaches use for their students
What feedback have you heard most consistently from early users about how it’s changed their training or awareness?
Many students say it has heightened their awareness and given them the ability to overemphasize the correct swing patterns, which helps them learn and internalize proper technique more quickly.
Looking ahead, how do you see motion-based wearables evolving, and where does SwingMotion fit into that future?
I believe motion-based wearables will continue to evolve, and SwingMotion is poised to be the leading innovator in the industry, consistently refining its products every day.
