SmartFit Studio

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SmartFit Studio

Summary:

Our partner aimed to create a streamlined solution for personalizing golf club fittings that eliminates the need for specially trained fitters. H&L Consulting was tasked with leading the app development. The app integrates with industry-leading launch monitors to track and record golf data, which is then analyzed on the backend server. By analyzing swing metrics, the app provides data-driven recommendations for golf clubs, a process previously handled by highly trained professional golf fitters. 

Challenges:

  • Refining the process of sharing swing data in a method where a variety of platforms (launch monitors, iPads, backend server) can understand  
  • Utilized user testing and feedback loops to refine the process ensure clear visualization of statistics and create a unique and enjoyable overall experience.

Approach:

Data Integration: Developed a universal data format and implemented API protocols to facilitate seamless data sharing and interpretation across multiple platforms, including various launch monitors and iOS devices. 

User Experience: Engineered a user-centric interface providing intuitive and clear visualizations of swing statistics through advanced data visualization techniques. 

Backend Development: Architected a scalable and robust backend infrastructure to efficiently process and store large volumes of swing data, ensuring high availability and fault tolerance. 

Testing and Refinement: Implemented extensive user testing and iterative refinement processes, leveraging detailed feedback from golfers to validate functionality, enhance performance, and improve user experience. 

Results:

The app successfully integrated with multiple industry-leading launch monitors, enabling seamless data sharing and interpretation across platforms. Users reported high satisfaction with the intuitive interface and clear visualizations, which enhanced their overall fitting experience. The backend infrastructure proved robust and scalable, efficiently handling large volumes of swing data while maintaining high availability and fault tolerance.

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