HR departments stand to gain a lot by tracking employee turnover. Valuable data can be collected and deeper insights drawn to reveal the potential source of the turnover, whether it be job dissatisfaction or other more personal reasons. This key HR metric can help companies assess and prioritize changes or adjustments to their culture or practices in order to decrease attrition and ensure retention of employees in the future. Ultimately, employee turnover can result in the wasting of resources and training, as well as put a drain on your company’s bottom line.
What is the Key to Reducing Employee Turnover?
Talent, or workforce analytics—as it’s called—is the process of accessing data from large sets of people in an organization and analyzing statistics and trends using technology and expertise to make better, more informed decisions through enabled reporting. Data collected could focus on employee demographics, performance benchmarking—such as project successes or failures—investment payoffs or ROI, strategy planning and risk evaluation, all viewed from the angle of talent attrition and retention.
Collect a Wide Range of Data
When considering talent analytics, there are a few key areas you should be factoring into your analysis:
- Differentiating Voluntary and Involuntary Turnover:
Voluntary separations are based on a number of personal preferences that should be accounted for. Some of these reasons have to do with a changing business landscape or model, or even revenue which can be thought of as involuntary as well. However, it’s the involuntary disciplinary dismissals that have a huge impact on this type of analysis. These points of reference can help to determine hiring mistakes or used to adjust procedures accordingly to minimize future terminations.
- Department or Title of Employee:
Labor turnover trends in a particular department or in management roles may reveal that the level of training being offered during employees’ tenure must increase or be augmented to avoid loss of key personnel.
- EEO Considerations:
Breaking data down by familiar EEO considerations like age, race, and gender specifics can prove useful in tracking any leave and departure movement by particular minority groups, median of age range, or even gender.
- Tenure and Longevity:
Analytics on averages of the length of tenure, or how long an employee stays at the company on average, can also help you better understand HR recruiting and the possible breakdown of employee retention rates.
- Separation Date:
Companies can actually see an uptick in turnover during certain times. Assessing resignations after annual bonuses are distributed, seasonality, or similar occurrences could provide a snapshot of anomalies or patterns for HR based on work production cycles and salary schedules.
Turn Over Your Turnover Findings
After collecting this pertinent data, it is important to aggregate it in a user-friendly format so that it can be digested and disseminated to the rest of the organization. Lucrative information such as this can help HR departments identify warning signs or leverage the insights they’ve learned to predict turnover trends in the future.
LaborSoft’s innovative technology is one of many integral solutions that keep your business in business. Our employee relations analytics, case management workflows, and our central repository of documentation mitigates risk of operational bottlenecks, costly lawsuits, and legal ramifications stemming from HR issues and complaints. Our maximum-security protocols protect employee data and company assets all times.
Contact us for a customized demonstration and learn how LaborSoft can help you improve communications, build a more collaborative, safe, and supportive workplace, while reducing the likelihood of costly litigation.