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Analyzing Employee Churn Through Employee Engagement Data

September 26, 2024

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5 min read

Analyzing Employee Churn Through Employee Engagement Data

What if you could predict which employees are likely to leave before it happens? Similar to how companies track customer churn, HR leaders can use employee engagement data to spot the early signs of disengagement patterns that often lead to turnover.

Exit and churn analysis uses your past employee engagement data to identify patterns of disengagement. By analyzing past employee engagement surveys, you can find the root causes of why people leave, and take action to improve retention before it’s too late.

In this article, we’ll explore how exit and churn analysis works, how it differs from traditional exit surveys, and how you can use these insights to predict and prevent employee turnover.

Differentiating Exit Analysis from Exit Surveys

Exit surveys and exit analysis are two distinct approaches to understanding why employees leave, and it’s important to recognize the value each one brings to the table.

  1. Exit Surveys
    Exit surveys are a common way to gather feedback from employees when they decide to leave your organization. These surveys typically ask for insights into what employees liked or disliked about their experience, along with their reasons for leaving. While exit surveys can provide valuable feedback, they often capture only a snapshot of the employee's perspective at the moment of departure.

  1. Churn Analysis (based on disengagement data)
    Exit analysis, on the other hand, goes much deeper. Instead of relying on immediate feedback, exit analysis reviews past engagement data from employees who have already left. By looking for recurring disengagement signals—like dissatisfaction with career growth or lack of recognition—you can spot patterns that contribute to turnover and address them proactively.

Exit analysis gives you the context you need to understand the underlying reasons behind turnover, helping you target solutions more effectively.

How Exit and Churn Analysis Works: Step-by-Step

Exit and churn analysis works by examining historical engagement data and identifying key patterns that signal disengagement. Here's how you can make this tool work for you:

  • Step 1: Identify Exited Employees
    Start by taking a list of employees who left the company during a specific period. Go back in time and examine their past engagement data to identify any common patterns of disengagement.

    For example, you might find that many of these employees consistently scored low on career growth opportunities or recognition.

  • Step 2: Compare Engagement Drivers                                                                             Next, analyze the overall engagement data for that same period. This step helps you isolate disengagement drivers specific to those who left, separating them from broader disengagement patterns seen across the company.

    This distinction is critical: while some drivers may signal overall dissatisfaction, not all of them lead directly to turnover.

  • Step 3: Document "Disengagement Drivers Linked to Exits"
    With the specific disengagement drivers identified, you can now document the key reasons why employees are leaving. These "disengagement drivers linked to exits" are the areas your organization needs to focus on.

    Create an action plan to address these drivers and improve retention based on the engagement data from former employees.

  • Step 4: Apply Churn Analysis Across Divisions
    Finally, repeat this analysis for larger divisions or departments. Disengagement drivers may vary across teams, meaning different departments could require tailored action plans to address their unique retention challenges.

    By segmenting your analysis, you ensure that your solutions are precise and effective for each group.

Want to see how churn analysis can transform your retention strategy? Book a demo to see how our platform can help you predict and prevent turnover.

Spotting At-Risk Employees Before It’s Too Late

Now that you've identified the disengagement drivers leading to employee turnover, the next step is predictive analysis. This process involves applying the findings from exit analysis to your current workforce to spot potential risks early and prevent future exits.

Predictive Analysis and Risk Identification

By comparing the disengagement patterns from employees who left to the current engagement data, you can identify departments, teams, or even individuals who may be at higher risk of leaving.

The goal here is to work closely with department heads to develop targeted action plans that address these at-risk areas. This proactive approach helps you invest in the right teams before disengagement leads to turnover.

Targeted Retention Strategies

When disengagement patterns are identified, the next step is to create specific solutions. For example, if a particular team consistently struggles with recognition, a tailored recognition program may help.

Similarly, departments showing disengagement around career growth might benefit from development plans or leadership training.

Practical Tips for Using Exit and Churn Analysis

Exit and churn analysis is most effective when it’s integrated into your regular retention strategy. By consistently reviewing engagement data, you can spot patterns before they escalate and implement solutions early.

Regular Review of Engagement Data

Make it a routine to review engagement data and monitor emerging trends. This proactive approach enables you to track changes in disengagement patterns and take immediate action to prevent turnover. Regular monitoring keeps your organization ahead of potential risks, allowing you to address issues before they lead to exits.

Focusing on High-Risk Areas

Prioritize the departments or teams that show the highest turnover risk. By focusing on these areas, you can develop targeted solutions that address the specific disengagement drivers affecting them, improving overall retention.

Turning Insights into Action for Stronger Retention

Exit and churn analysis is a powerful tool that allows you to go beyond surface-level data and address the core issues causing employee turnover. Regularly reviewing engagement data helps you tackle turnover risks before they escalate, creating a more engaged and loyal workforce.

By implementing Engagesoft’s exit and churn analysis as part of your HR strategy, you’ll have the tools you need to retain top talent, enhance employee experiences, and build a stronger, more resilient workforce.

Ready to transform your retention strategy? Start using Engagesoft today to keep your best talent on board.

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