Employee churn is one of the most significant issues in tech.

There is a lot of effort to find, hire, onboard people. A lot of time until there is a replacement and even more before productivity kicks in. The replacement cost is estimated between 150-200% of the yearly salary and even higher on executives.

Employee turnover lowers morale. As stated 70% of employees say having a friend at work is the most crucial element to a happy work life.

At Micro Culture we are working to provide the tooling to understand the state of the organization and take preventive measures.

Predict Employee Churn

Work in Progress...

How we plan to do it?We currently evaluate predictive churn models analyze past employee behavior and employee characteristics to forecast future turnover.

Key data sets to explore:

• User engagement and emotional state

  • Long working hours

  • High-Low engagement especially with key colleagues

  • Ghosting

  • Improved negativity

• Surveys

• Demographics like age, gender, location

The whole idea is to flag churn risks that require corrective actions at a workspace level. As this is still in progress you can share your feedback: manos@mculture.xyz or book a meeting