Many companies suffer losses due to the fact that employees get sick, burnout at work and lose effectiveness.
Wellbit is the health and wellness platform which allows companies to track the mental and physical health of their employees and, as a result, to avoid the loss of revenue.
What we have done
Being a technical co-founder our team developed Wellbit, the health and wellness platform for companies. This web application helps companies organize monitoring the health figures of their employees.
All solutions related to the technical details such as architecture, database designing, integration with external API (Fitbit, Misfit, Jawbone) were made on the basis of our research. We selected frameworks and libraries to develop and launch the user friendly application in a short period of time.
After 2.5 months of MVP development and implementation process we tried to perform weekly update of the application with some new features and modifications taking into account users’ feedbacks. This approach helped us timely respond to the market demands.
It works pretty easy. A company signs up on the Wellbit platform and sends invitations to its employees. The last ones accept invitations, sign up and connect their wearables to the Wellbit. The platform maintains the most popular devices such as Fitbit, Misfit, Jawbone that help to check employee’s activities and health conditions.
Functionality of this platform helps an employee add his goals (for example, lose weight, give up smoking or do some sport activities), and his supervisor can approve it or reject.
“My Wellness” section binds BMI (body mass index) history and 8 types of calculators for estimation of BMI, physical risk, fatigue, mental health, stress, alcohol risk, smoking risk, diabetes.
This web application implemented as a game that allows employees to compete with each other. An employee can see his position in the corporate rank and try to reach higher positions in comparison with colleagues. An employer, in his turn, can track employee statistics by all parameters and apply relevant measures to avoid risk factors.
Would you like to build anything similar? Feel free to contact us.