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Case
Workforce of tomorrow

Gaining data-driven insight into employee engagement

By combining different datasets, we identified the factors that predict unwanted employee turnover. Based on these insights, we recommended concrete interventions that are expected to increase employee engagement and reduce unwanted turnover.

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Challenge

The client, an organisation responsible for delivering healthcare services, had been unable to meet its agreements with the ministry for two years regarding the screening of a target group at the agreed intervals. One of the main reasons was relatively high employee turnover, which meant the organisation lacked the operational capacity required.

Bright & Company was asked to use a data-driven approach to investigate the causes of unwanted employee turnover and recommend measures to reduce it.

Approach

We began by bringing together an expert group of HR advisers and experienced managers. Together, we formulated several hypotheses about recruitment, loyalty and employee turnover. We then developed a research and data model that combined various data sources, including exit interviews and a recently conducted employee wellbeing survey. We also conducted an employee experience survey and incorporated the results into the data model.

We then identified trends in the data and tested our findings with a broad group of HR advisers and managers. This gave us insight into the factors that predict employee dissatisfaction and potential early departure. We refined the analysis using variables such as age, length of service, contracted working hours, employment terms and conditions, commuting time and the way work was organised.

Based on these insights, we worked with the expert group to develop recommendations for further interventions aimed at significantly reducing the risk of unwanted employee turnover.

Impact

The data-driven analysis provided insight into the causes of unwanted employee turnover. For each career stage, we identified the reasons employees leave and their specific needs. Based on these findings, we defined further interventions aimed at reducing the likelihood of unwanted turnover. Implementing the proposed interventions is expected to make a significant contribution to maintaining the required operational capacity by recruiting suitable employees and retaining existing employees for longer.

About the author

Go for what makes your heart sing!
Richard Jongenotter
Richard Jongenotter
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