Problem

Employee mental health is a growing concern for companies, with stress and burnout leading to decreased productivity and increased absenteeism. Skillenza, a data analytics company, recognized the need for a solution that could predict and prevent mental health issues in employees before they become serious problems.

The challenge was to develop an AI-powered platform that could analyze employee data and identify patterns that indicate potential mental health issues. The platform needed to be accurate, scalable, and easy to use for both employees and HR managers.

Learn more about our approach here.

Solution

We developed an AI-powered platform that uses machine learning algorithms to analyze employee data and identify patterns that indicate potential mental health issues. The platform collects data from various sources, including employee surveys, performance metrics, and social media activity.

Our team used natural language processing (NLP) algorithms to analyze text-based data such as survey responses and social media posts. We also used machine learning algorithms to analyze numerical data such as performance metrics. The platform then generates personalized recommendations for employees based on their individual needs.

Impact

Improved employee mental health by X%
Reduced absenteeism by X%
Increase in overall productivity by X%

"This platform has had an incredible impact on our company culture and the well-being of our employees."

Team

Team Member #1 - Data Scientist
- Developed the machine learning algorithms used to analyze employee data
- Worked on the NLP algorithms used to analyze text-based data
Team Member #2 - UX Designer
- Designed the user interface for the platform, making it easy to use for both employees and HR managers
- Conducted user research to ensure that the platform met the needs of all stakeholders

AI Platform Boosts Employee Mental Health