Proximity-driven IoT solution for Employee Happiness and Job Satisfaction
- Product Research & Development
A client of an agency aimed to construct an Employee Happiness solution for its South-East Asian campuses. The challenge was to design, build, and implement an automated solution that could effectively measure employee happiness and job satisfaction. The client wanted to utilize IoT for gathering employee feedback and work with cross-functional teams to build and monitor an effective employee welfare solution. The task was not only to collect feedback but also to analyze it and generate meaningful campaigns based on the varying needs of the employees.
About The Customer
The customer in this case study is a client of an agency who operates campuses in South-East Asia. They were looking for an innovative and automated solution to measure and improve employee happiness and job satisfaction across their campuses. The customer aimed to utilize IoT technology to gather employee feedback and wanted to work with cross-functional teams to build and monitor an effective employee welfare solution. They also intended to generate meaningful campaigns based on the varying needs of their employees and measure the success of these campaigns.
To construct this advanced solution, the engineering team selected AWS IoT, React Native, Appium, and AWS SQS to ensure all aspects of development are addressed. The solution involved storing millions of raw sensor records in the Cloud. The team worked in sync with the implementation partner to ensure the smooth execution of the project. The solution also included generating meaningful campaigns based on the varying needs of the employees. Analytics with filters were used to measure the success of these campaigns, providing valuable insights into employee happiness and job satisfaction.
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