The Qoach.io website employs a complex algorithm that evaluates a user’s expectations.
This section consists of straightforward instructions on how to sign up, create a profile, and start providing services.
The users of the platform can easily navigate its interface and book the available coach’s sessions.
The client has an option to rate the athlete after each session, thus promoting their improvement and honesty for the benefit of the next client.
Use AI in order to match users with coaches who will be able to help them achieve their personal or work-related aims.
Enable everyone who has coaching skills to sign up, provide knowledge, and search for clients.
Enhance ease of navigability of the platform for users as well as the coaches to encourage more bookings.
Facilitating the growth of coaches’ enterprises while increasing user experience by availing the necessary tools to them.
Development of an Artificial Intelligence based model that is objective in user and coach pairing with consideration of different objectives or needs.
Induction of new coaches into the marketplace through a clear operational induction process.
Designing the coaching services offered into subdivisions such as career coaching, wellness coaching, and life coaching among others to availing the right services to the appropriate users.
Improved the AI systems and algorithm to make sure that the matching process takes in in all factors, and learns endlessly from users.
Simplified the onboarding process for the coaches in addition to providing facilities to assist in client and booking management systems.
Classifying coaching services by specialization to assist clients in locating coaches that provide services in career management, wellness and other personal development areas.
Embeded users and coach message system to enhance communication and interaction between the users and the coaches in the system.
The accuracy of the matching powered by AI has made a large impact on engagement and satisfaction of users’ levels.
New coaches were recruited to the platform, thus expanding the marketplace further.
Users’ experience improved significantly with the introduction of tailored matching and seamless services.
The expandable system backend made it possible to increase bookings and users traffic without degrading the performance of the platform.