Research / Employee Retention Evidence

Overtime concentration as a retention signal

How to measure whether overtime is spread across a team or concentrated on a few employees, and why the pattern matters for retention.

Published: · Sources: 10 · 11 minute read

10 public sources reviewed
Three concentration measures defined
One bounded review window
Research summary for Overtime concentration as a retention signal
In this article

Overtime is usually reported as a total, and the total can hide the distribution. A team may have a moderate number of extra hours that are spread across the group, or the same number concentrated on two people who cannot say no. The first pattern can be manageable and the second can be a path to burnout and departure. A concentration measure makes the difference visible. This report describes the measure, the data it needs, and the limits of what it can prove.

Published November 4, 2026

The question and the scope

The question is: within a defined team and period, how concentrated are overtime hours, and does the concentration pattern coincide with retention outcomes? The unit is one employee and one pay period, with a team-level summary. The observation window is a quarter, with a follow-up at the end of the next quarter. The scope includes scheduled overtime, voluntary extra hours, and hours added to cover an absence.

The scope excludes the legal question of whether a particular hour was compensable. That question belongs to the payroll and legal process, and the review should not attempt to resolve it. The report focuses on the operational pattern: who carries the extra hours and what that pattern suggests about capacity. The distinction keeps the review useful without turning it into an audit.

Why the total hides the pattern

A team total of one hundred extra hours sounds manageable until the distribution is visible. If two employees carry forty hours each and the rest carry a few, the team has a capacity problem that the total does not show. The two employees may be the most experienced, the most willing, or the only ones trained for a task. Their willingness can mask a structural gap until they leave.

The total also hides the difference between voluntary and required hours. An employee who chooses extra hours for a short period is in a different position from an employee who is required to stay late every week. The record should distinguish the two, even when the distinction is approximate. A voluntary hour can become required when the team is short, and the review should notice the shift.

Define three concentration measures

The first measure is the share of overtime hours carried by the top two employees in the team. A high share indicates concentration, and a low share indicates a broader distribution. The measure is easy to calculate from payroll or time records and easy to explain to a supervisor. It should be reported with the team size so a small team is not compared with a large one.

The second measure is the number of consecutive weeks in which an employee carries overtime. A single busy week is different from twelve weeks in a row. The consecutive pattern is a better indicator of sustained load than the total alone. Record the start and end of each run and note any break.

The third measure is the share of overtime that is required rather than voluntary. The record may not capture the reason for every hour, and the team can code the main categories, such as coverage, project, or voluntary. A high required share combined with high concentration is the pattern that deserves attention. Report the three measures together so the reader can see whether the load is broad and mandatory or narrow and optional.

Measure What it shows What it can hide
Top-two share Concentration of extra hours Whether the hours were voluntary
Consecutive weeks Duration of the load The intensity within a week
Required share How much is mandatory Whether the employee could decline

Build the record

Start with the time records and the schedule for the period. Reconcile the hours against the approved overtime and the absence records. A gap between the approved hours and the recorded hours may point to a coding problem or an unapproved pattern. Resolve the gap before calculating the measures.

Add the team and the role for each employee so the pattern can be compared within a similar group. Do not add personal reasons for the overtime unless the employee has shared them for this purpose. The review is about the distribution of work, not about the employee's home life. A record that collects unnecessary personal detail will discourage honest participation.

Read the pattern by team

Compare teams of similar size and work before comparing across the site. A team with a high concentration may have a training gap, a scheduling gap, or a supervisor who assigns extra hours to the same people. A team with a low concentration may have a broader skill base or a more stable schedule. The comparison should describe the conditions rather than rank the supervisors.

Look for concentration that persists after a schedule change. If the same employees carry the extra hours in every period, the team may be relying on a small group of experts. That reliance is a risk even when the employees are willing. The review should ask what would happen if one of them were unavailable for a month.

Test a redistribution

Choose one team and one change, such as cross-training a second employee for the task that drives the overtime or adjusting the schedule to reduce the peak. Measure the concentration before and after the change. Do not change the headcount and the schedule at the same time, because the result will not show which change mattered. Keep the measurement window long enough to include a full scheduling cycle.

A redistribution can fail if the newly trained employee is not actually scheduled for the task. Check the assignment, not only the training record. A skill that is never used does not reduce the load. The review should confirm that the extra hours moved and that the original employees received relief.

Where the evidence stops

The measure cannot show that overtime caused a departure. An employee may leave for a different reason and mention the hours as a symptom. The measure can show that the load was concentrated and that the departure followed. That sequence is useful and it is not proof of cause.

The measure also cannot show whether the overtime was fair in a legal sense. It describes the distribution of recorded hours, not the compliance of the arrangement. The employer should keep the legal review separate and should not use the operational measure as a substitute. A clear boundary protects both the review and the employee.

A protocol for one employer

Choose a quarter and define the team, the measures, and the data sources. Reconcile the time records against the approved overtime and the absence records. Review the first ten employees with the supervisor and note the cases that need a conversation. Freeze the definitions and log exceptions.

Report the top-two share, the consecutive weeks, and the required share for each team. Add a short list of the changes the team intends to test, such as cross-training or a schedule adjustment. Repeat the review after the change using the same definitions. The comparison is more useful than a single snapshot because it holds the team's context constant.

Limitations and next action

The sample is one employer and one quarter, and the results depend on the industry and the season. A team with a planned peak may show concentration that is temporary and appropriate. The review should note the planned peaks before treating the pattern as a problem. A single review is a description, not a benchmark.

The next action is to pick one team and one cause of concentration. Cross-training, a schedule change, or a clearer rule for voluntary hours are modest fixes that can be tested. The team can then see whether the load moves and whether the employees who carried it receive relief. That is a more useful question than whether overtime is good or bad.

Data Sources and Methodology

  1. DOL overtime pay requirements
  2. DOL Fair Labor Standards Act
  3. OSHA laws and regulations
  4. NIOSH Total Worker Health
  5. BLS Job Openings and Labor Turnover Survey
  6. BLS American Time Use Survey
  7. EEOC laws and guidance
  8. Census Bureau Quarterly Workforce Indicators
  9. Federal Reserve Economic Data
  10. U.S. Small Business Administration