Overview
Proactively preventing the turnover of your key employees is now more important than ever.
The Turnover Insight is an analysis of specific factors associated with turnover in your organization as a whole, as well as across employee segments. It also includes an information on which employees might be at risk of leaving the company, as well as the playbook to help you build up an effective retention strategy.
Turnover Insight basics
Prerequisites
The Turnover Insight becomes available only if:
Your HRIS source is connected to the People Analytics platform.
Enough turnover events have been accumulated.
Our model revealed patterns in those events
Factors taken into account
To generate the Insight, our model considers historical turnover data and other temporally associated factors. The model focuses on factors such as age, tenure, last employee salary, time since last salary hike, median salary hike, time between salary hikes, median relative salary hike, median bonus, manager leaving the company, years in role, and unplanned leaves.
Content of the final analysis
When the Turnover Insight becomes available, the final analysis will show one or both of the following breakdowns:
Voluntary Turnover Insight: how much each factor contributes to overall turnover, quantified as a percentage.
Involuntary Turnover Insight: employee segments with significantly higher involuntary turnover rates when compared to the rest of the organization
The analysis concludes with a Playbook β a set of suggestions to help you remedy the issues discovered. The Playbook is constantly developing. We aim to show highly specific advice grounded on the best available research.
Access the Turnover Insight analysis
The Turnover Insight analysis can be accessed in two ways:
Voluntary Turnover Insight
Structure
The Voluntary Turnover Insight is structured as follows:
Main section which presents either Voluntary Turnover Insight or Involuntary Turnover Insight or both
Summary of the results
Variable importance chart
Table with employees who might be at risk of leaving the company
Playbook with recommended action steps
Summary
The analysis of the Voluntary Turnover Insight starts with a summary. It draws attention to the main conclusion of the Insight, framing the analysis for easier comprehension, so you donβt get lost in the details that follow.
Variable importance chart
The heart of the Voluntary Turnover Insight, this bar chart shows the most impactful factors associated with voluntary turnover.
The factors are ordered by magnitude of impact, measured as percentages of contribution to overall turnover in our model.
To see the exact percentage and the meaning behind the percentage, hover over the factor that interests you.
Below the chart, you can select a specific factor that was found to be associated with the turnover and explore the association.
You can also βzoom inβ to analyze the turnover within different segments of your company.
If there is enough data for a selected employee segment, you will get factors most strongly associated with turnover for that segment.
Employees at risk of leaving
Insight also surfaces you a table with employees who might be at risk of leaving. The table holds information on employee names, their teams, and department, as well as the estimated cost of their turnover.
You can check off employees in the table that are at high or medium risk of employees if you want to see how much money you could save by keeping them in the organization!
Playbook
The playbook to combat turnover is based on the preceding analysis. Playbook items change based on what factors you select.
You can interact with it and tick any actions you have already taken:
Involuntary Turnover Insight
Overview
The Involuntary Turnover Insight analyses if your organization had significantly higher Involuntary Turnover rates during some months, as well as if some employee segments were terminated in higher rates than the rest of the company. Use this insight to evaluate fairness of termination process and the quality of hiring across different employee segments.
Access the Involuntary Turnover Insight
The Involuntary Turnover Insight can be accessed in two ways:
Structure
The Voluntary Turnover Insight is structured as follows:
Main section which presents either Voluntary Turnover Insight or Involuntary Turnover Insight or both
Summary of the results
Chart showing significantly higher turnover rates
Playbook with recommended action steps
Summary
The analysis of the Involuntary Turnover Insight starts with a summary. It draws attention to the main conclusions of the Insight - highlighting employee segments with unusually high involuntary turnover rates.
Our analysis tests for unusually high involuntary turnover rates across different divisions, departments, teams, locations, genders, and races. Acquiring information on unusually high involuntary turnover rates across other employee segments can be obtained by grouping the chart using different values specific to your organization.
Segments with higher involuntary turnover rates
The Involuntary Turnover Rate Insight consists of a single bar chart. When data is not grouped by any value, the bar chart indicates months with higher involuntary turnover rates using red flags.
If you want to explore if some employee segments were terminated in higher rates than the rest of the company, you can group chart by any employee segment. The resulting bar chart will show Involuntary Turnover Rate for each segment, as well as the Involuntary Turnover Rates in the rest of the organization used for statistical comparison.
If a certain employee segment was terminated in statistically higher rates than the rest of the company, the chart will indicate such difference with a red flag.
Playbook
Playbook offers you a set of different actions you can use to ensure fairness in termination process.
π Additional resources and next steps
π Data Health 101 (to ensure the data in your insights is valid)
π Stories and Chapters 101 (for an overview of available metrics for your reports)
π¬ Need further help? Just reply with "Ask a Person" in a Support Conversation to speak with a Product Support Specialist.