QuickBoard™ app analytics for December 17

The Trusted Sports Agility Leader For Over 7 Years Speed and Strength have been measured for years. Isn't it time we measured Quickness and Agility. A player’s First Step is the most critical. A First Step creates separation or closes a gap. These flashes of movement cannot be measured by a stopwatch. You must have real-time feedback to improve Quickness and Agility because these flashes of movement are measured in milliseconds. Sports Agility Management The Quick Board technology is an intervention utilized in the testing, training, and rehab stages of an athlete’s lifecycle and it improves services provided to athletes all while saving time. Our sports agility management software helps performance coaches and sports medicine staffs fill neurological voids in training and rehab that will significantly improve and restore an athlete’s performance. Clinical Software Our clinical software helps surgeons and therapists implement more effective strategies to measure and improve outcomes all while satisfying payer criteria. Quick Board’s automation decreases the need for staff resources to treat patients and plan therapy sessions. Clinics will improve outcomes, clinic efficiency, and patient engagement. New User Interface Our platform gives therapists the freedom to easily manage and quickly update the information about their patients. Extensive User Experience Research has been conducted for the past 4 months to improve the application. With the help and involvement of our customers, we created an intuitive application flow. Our Usability Test feedback decreased user interaction time within the app. New App Flow The new iPad Application is now organized in 4 main sections: Exercises, Playlists, Workouts, Settings. A tab bar has been added to highlight them and to easily move from one section to another. The users will be able to access the Training Screen by pressing the shortcut determined by a play icon. Augmented Reality We introduce two new features: Follow Shoes and Detect Shoes. Follow Shoes: User's shoe is tracked to detect board's position. Detect Shoes: Detects when the shoes are on the sensor board.