Mastering Employee Turnover Analysis with Data Visualization

Reethika Moovendhan
Bold BI
Published in
7 min readOct 16, 2023
Mastering Employee Turnover Analysis with Data Visualization

Managing employee turnover is a pressing challenge across industries. HR professionals often grapple with deciphering the reasons behind departures, improving retention, and aligning workforce strategies with organizational goals. In this blog, we’ll look at examining employee turnover through data-driven visualization, how this helps address these challenges, ultimately fostering a thriving workforce.

What is employee turnover?

Employee turnover is the frequency at which employees resign from a company and are replaced with new hires. Organizations utilize this metric to gauge the frequency of employee departures within a specific timeframe.

Employee turnover widget rate in Bold BI
Employee turnover widget rate in Bold BI

The importance of employee turnover analysis

The analysis of employee turnover is crucial for a variety of reasons.

  • Cost Management: Understanding turnover helps in assessing the financial impact of recruitment, training, and onboarding for replacement employees. High turnover can be costly, and this analysis can identify areas for cost reduction.
  • Retention Strategies: Employee turnover analysis uncovers the underlying causes of departures, enabling organizations to implement targeted retention strategies. These strategies can address issues like job satisfaction, career growth, or management concerns.
  • Productivity and Continuity: Frequent turnover disrupts workflow and knowledge transfer. By analyzing turnover, organizations can develop strategies to ensure that essential institutional knowledge is retained, and productivity is not compromised during transitions.
  • Talent Acquisition: Employee turnover analysis can help refine recruitment processes by identifying patterns in employee resignations. This information can guide the selection of candidates who are more likely to stay with the organization.
  • Employee Satisfaction: Incorporating exit interview data into turnover analysis yields valuable insights into the employee experience. This feedback serves as a compass, guiding efforts to improve workplace satisfaction, address grievances, and foster a more engaging and positive work environment.

Common factors leading to employee resignations

A widget showing common resignation reasons
A widget showing common resignation reasons

Employee attrition is a significant concern for businesses, with various factors contributing to an individual’s decision to leave their role. Here are some reasons that can trigger employee departures:

  • Performance: If an employee consistently misses targets and goals, it can impact their choice to leave. They may feel there’s a lack of training or support, or that their skills don’t align with the job requirements.
  • Career Growth: Employees seek opportunities for growth and development, and when an organization doesn’t offer avenues like promotions, training, or skill enhancement, they may leave for better prospects elsewhere.
  • Disciplinary Action: Disciplinary action occurs when an employer responds to an employee’s breach of company rules or policies, potentially resulting in warnings, suspension, or termination. Repeated involvement in such actions can prompt an employee to either resign voluntarily or face involuntary departure.
  • Salary: Compensation is a key factor in employee retention. When employees feel they are not fairly compensated or find better-paying opportunities elsewhere, they may choose to leave. Financial constraints within the organization can also lead to employee departures.
  • Poor Management: Poor leadership can lead to a toxic work environment, causing employees to leave.

Mitigating employee turnover through data visualization

Visualizing employee turnover data provides a myriad of benefits to businesses, including:

  • trends: Visualization tools can help identify patterns and trends in employee turnover that may not be immediately obvious in raw data. This could include specific times of year when turnover is high, or identifying departments or roles that have a higher turnover rate.
  • Predicting hiring needs: By visualizing turnover data, companies can predict future trends and take necessary action. This can help in planning recruitment and training needs.
  • Improving retention strategies: Understanding the reasons and patterns behind turnover can help in formulating effective retention strategies. Improving employee satisfaction can reduce turnover costs.
  • Saving money: High employee turnover can be costly. By visualizing and understanding turnover data, companies can take steps to reduce these costs. This includes costs associated with recruitment, training, and lost productivity.
  • Enhancing communication: Visualized data can be easier for all stakeholders to understand, fostering better communication. This can help when discussing strategies with different departments or presenting information to senior management or board members.

Generally, visualizing employee turnover data can provide crucial insights, enabling businesses to improve retention strategies and ultimately, save costs.

Calculating employee turnover rates

The employee turnover rate is important due to its financial impacts and as a reflection of employee satisfaction and retention efforts. The employee turnover rate is calculated in three steps:

  1. To start, figure out the average number of employees during a certain time This is typically calculated on an annual basis, but it’s good if you can break it down more.
  2. Next, find out how many employees left the company during the same time. This includes any employee who left the company, regardless of the reason (resignation, termination, retirement).
  3. Finally, you can calculate the employee turnover rate by dividing the number of employees who left by the average number of employees and then multiplying by 100 to get a percentage.

Formula:

Turnover Rate = (Number of employees who left/Average number of employees) × 100

For example, if there were 100 employees at the start of the year, 110 at the end, and 20 left the company, the turnover rate would be (20/(100+110)/2)) × 100 = 19.05%. So, the annual turnover rate is 19.05%.

Key employee turnover metrics

Employee turnover metrics are essential for understanding and managing workforce dynamics. The following are key turnover metrics to track and how they are calculated.

Turnover rate

Employee turnover widget rate in Bold BI
Turnover rate for employees

As previously discussed, the turnover rate is the proportion of employees who depart from an organization during a defined timeframe. A high turnover rate may indicate issues with employee satisfaction or workplace conditions.

Retention rate

Retention rate for employee
Retention rate for employee

The retention rate is the inverse of the turnover rate. It calculates the percentage of employees who stay with the company within a specific time frame. This metric reveals how effectively an organization is retaining its workforce. A high retention rate generally indicates a healthy work environment and effective retention strategies.

Voluntary vs. involuntary turnover rate

Voluntary vs. involuntary turnover
Voluntary vs. involuntary turnover

Voluntary Turnover Rate

This metric focuses specifically on employees who leave the company voluntarily, meaning, they resign or quit of their own accord. Voluntary turnover can provide insights into job satisfaction and factors that lead employees to want to leave.

Involuntary Turnover Rate

This metric is the proportion of employees who are dismissed by the organization, due to reasons such as layoffs or performance problems. Involuntary turnover may indicate issues with workforce management, organizational changes, or hiring processes.

Cost of turnover

Cost of turnover
Cost of turnover

This metric calculates the financial impact of employee turnover, including recruitment, training, and lost productivity costs. Understanding the cost of turnover makes the financial implications of high turnover rates and the potential return on investment for retention strategies clearer.

Employee satisfaction and engagement scores

Participant engagement score
Participant engagement score

Measuring employee satisfaction and engagement through surveys and assessments can provide qualitative insights into turnover. Low scores may correlate with higher turnover rates, indicating areas for improvement in workplace conditions and management practices.

Employees by experience

Employees by experience
Employees by experience

Analyzing employees based on their years of experience within an organization or industry can provide insights into workforce dynamics, skill levels, and potential for leadership roles.

You can track employee turnover metrics through a BI dashboard to improve employee retention strategies and make informed decisions for better workforce management. The trends and patterns revealed in the widgets allow for proactive problem-solving and improved overall productivity.

As an example, the HR Resignation Details Dashboard provides a detailed view of the resignation data of an example company with crucial metrics like resignation rates and service length before resignation. It aids in identifying trends, understanding reasons for leaving, and crafting custom strategies to lower turnover.

HR Resignation Details Dashboard
HR Resignation Details Dashboard

This Bold BI dashboard can assist HR managers in understanding the main drivers of employee turnover and in developing strategies to reduce it.

In conclusion, comprehending employee turnover is vital for HR. Utilizing tools like Bold BI aids in this process, but the key is understanding your workforce’s unique dynamics, enabling data-driven strategies for improved HR processes, reduced turnover, and a thriving organizational culture.

Originally published at https://www.boldbi.com on October 16, 2023.

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Reethika Moovendhan
Bold BI
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Reethika, a dedicated blogger, inspires and engages readers with her informative and creative content in business intelligence technology.