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INSIGHTS // RETENTION

The Warning Signs Before Someone Quits

What officers say on the way out tells you where they went, not why they were looking. The things that actually predict a departure are visible months earlier — and almost nobody is watching them.

69%Of voluntary resignations happen within the first five years of service
0.17How strongly pay correlates with actually quitting — general workforce, not policing
3 yrsThe window over which a burnout score predicted who would resign
Published 20 Aug 2026~8 min read10 cited sourcesCategory Retention

Exit interviews are the standard tool for understanding why people leave. They are also, according to more than fifty years of research, one of the least reliable.

  • 69% of resignations happen inside five years. Retention is mostly an early-career problem.
  • Pay is the reason everyone reaches for. Against actual departures it is a middling predictor at best.
  • A signal measured on a survey predicted who resigned over the next three years. Almost no agency collects it.
SEC.01

They leave earlier than you think

When officers actually resign Share of voluntary resignations by years of service. Base: 3,708 resignations. In the first year: 29 percent. Years two to five: 40 percent. After five years: 31 percent. When officers actually resign Share of voluntary resignations by years of service. Base: 3,708 resignations. 29% In the first year 40% Years two to five 31% After five years 69% of resignations happen inside five years.
Source: a national policing association survey covering 3,708 voluntary resignations reported by responding agencies, September 2019.1 A voluntary survey of member agencies, not a probability sample.

Nearly three in ten resignations happen in the first year. Seven in ten happen inside five.1

That reframes the problem. Most retention effort is aimed at keeping veterans a little longer. The volume is somewhere else entirely — among people you finished training eighteen months ago, who cost you six figures to produce and have not yet returned any of it.

Agency size changes the shape of it. In nationally representative federal data, voluntary resignations were 64% of separations at agencies under 25 sworn, and 30% at agencies of 500 or more, where retirements dominate instead.2 A sergeant in a 40-person department and one in a 2,000-person department are not managing the same problem.

SEC.02

What they say is not what predicts it

The largest analysis of this question pooled 316 studies and roughly 1,800 effect sizes to test which factors actually predict voluntary turnover — not intention to leave, but people who left.3

What actually predicts someone quitting Correlation with actual voluntary turnover. Meta-analysis of 316 studies. General workforce. Already thinking about leaving: 0.56. Actively job searching: 0.40. Commitment to the organization: 0.29. Job satisfaction: 0.28. Leadership: 0.24. Absenteeism: 0.23. Pay: 0.17. What actually predicts someone quitting Correlation with actual voluntary turnover. Meta-analysis of 316 studies. General workforce. Already thinking about leaving 0.56 Actively job searching 0.40 Commitment to the organization 0.29 Job satisfaction 0.28 Leadership 0.24 Absenteeism 0.23 Pay 0.17 Shown as strength. Commitment, satisfaction, leadership and pay all run negative.
Source: a meta-analysis of 316 primary studies in Personnel Psychology, 2018.3 General workforce, not policing. Values are corrected correlations with actual voluntary turnover, shown as strength; commitment, satisfaction, leadership and pay are negative relationships — more of them, less turnover.

Pay came in around 0.17 — weaker than roughly half the 57 factors tested. The authors flag it themselves: the direction is intuitive, but they write that “challenges remain to explain why this effect is not stronger.”3

Pay is what everyone reaches for first. It is nowhere near the top of what actually moves the number.

Be careful with that. It does not mean pay is irrelevant, and it does not transfer automatically to policing. In one survey of 1,823 officers in a very large department, compensation did predict turnover intention.4 The honest reading is that pay behaves like a threshold rather than a lever: badly underpaid people leave, and paying an adequately-paid officer more does not buy proportionate loyalty.

Look at what does sit near the top. Someone already thinking about leaving. Someone actively searching. Falling commitment. Falling satisfaction. Absence creeping up. Every one of those is observable months before a resignation letter.

SEC.03

Why the exit interview misleads you

The problem was documented in 1969 and corroborated since: researchers compared what departing employees said in exit interviews with what the same people reported later, and found only weak agreement. People withhold, and they give socially acceptable reasons.5

“Better pay” is a safe thing to say to a supervisor you may need a reference from. “My sergeant never once asked what I wanted to do with my career” is not.

Policing has its own version. When one association asked agencies why officers resigned, the top answer was accepting a job at another local law enforcement agency.1 That is a destination, not a cause. It tells you where they went and nothing about why they were looking.

There is also a structural problem. In a study of officers who had actually resigned, only 5 of 27 were even offered an exit interview. Participants called it a tick-box exercise. One said he “never really felt I got the opportunity to say my true feelings about it when I left.”6

SEC.04

The signal that showed up three years early

Almost everything published on police retention measures intention to leave. Intention is not departure, and the gap between them is where most retention research quietly fails.

One 2026 study did it properly. Researchers took survey responses from officers at a state law enforcement agency and linked them to actual resignation records over the following three years.7

A one standard deviation increase in an officer’s burnout score corresponded to a 3.5 percentage point higher probability of resigning. A one standard deviation increase in public service motivation corresponded to a 2.8 point lower probability — and it buffered the effect of burnout.7

This is an association measured on real departures over real time, not a survey asking people whether they are thinking about leaving. It is the closest thing policing has to a validated early warning.

The number itself is modest. What matters is that it existed at all, on a questionnaire, up to three years ahead of the resignation. Somebody could have seen it.

SEC.05

What nobody is measuring

A 2025 review of the police turnover literature reached a blunt conclusion. Research on retention strategies is “fragmented and inconclusive.” Stay interviews: “Few studies have examined the implementation.” Exit interviews: “impact remains largely unevaluated.”8

Consider what that means next to what agencies already collect. One study analysed 513,666 shifts and 4,868 absence events from 21 years of one department’s payroll records to study fatigue and unplanned absence.9 The data was there. No published study has linked police absence records to who later resigned — even though absenteeism is one of the established predictors in the chart above.

Agencies routinely run early intervention systems that flag officers at risk of a complaint. We could find nothing equivalent for attrition. We watch for the officer who might cost us a lawsuit and not for the one who is about to walk out.

SEC.06

What a supervisor can actually watch

The research does not hand you a validated checklist — be suspicious of anyone who says otherwise. What it does support is a shift in where you look.

  1. Weight the first five years. That is where the volume is. A structured conversation at six, twelve and twenty-four months costs you an hour and lands where the risk is.
  2. Ask before they are leaving, not while. Stay conversations are barely studied, which is a reason to run them carefully rather than a reason to skip them. An exit interview is a post-mortem.
  3. Track disengagement as data, not mood. Absence, declining discretionary activity, withdrawn transfer or specialty interest. These are recorded already, in systems you have.
  4. Treat burnout as a workforce metric. The one prospective study that linked a survey to real departures found it there. If you never measure it you will never see it coming.
  5. Ask about development, specifically. Officers who resigned described lack of voice, unrecognised skills and blocked development.6 None of those appear on an exit form as “pay.”
  6. Watch organizational stress, not just the calls. In a study of 2,669 officers, stress from the organization predicted wanting out more strongly than either trauma exposure or operational stress.10 The job is not the only thing grinding people down.

One honest caveat on all of it. These are associations, from cross-sectional research, in a field with almost no evaluated interventions. Nobody has proven that acting on any of these signals keeps a specific officer. What is established is that the signals exist and that they appear well before the resignation does.

APTITUDE // CAREER DEVELOPMENT AND RETENTION SYSTEM

Retention is not random

People do not leave out of nowhere. Aptitude identifies risk before it becomes resignation, burnout, disengagement or discipline — and turns career development from an annual conversation into something measurable.

It is not therapy, not generic coaching, and not a wellness app. It answers one question: are the people we have healthy, engaged, supported, and likely to stay?

Book a demo See Aptitude

Sources

  1. Police Executive Research Forum, The Workforce Crisis, and What Police Agencies Are Doing About It, September 2019. 412 responding agencies of 775 surveyed; resignation timing based on 3,708 reported voluntary resignations. Voluntary member survey, not a probability sample. Report (PDF)
  2. Arietti, R. & Goodison, S. E., Hiring and Retention of State and Local Law Enforcement Officers, 2020 — Statistical Tables, Bureau of Justice Statistics, NCJ 310652, March 2026. Nationally representative sample. Report (PDF)
  3. Rubenstein, A. L., Eberly, M. B., Lee, T. W., & Mitchell, T. R. (2018). Surveying the forest: a meta-analysis, moderator investigation, and future-oriented discussion of the antecedents of voluntary employee turnover. Personnel Psychology, 71(1), 23–65. 316 studies, roughly 1,800 effect sizes, 57 predictors. General workforce. Study
  4. Quick, K. M., & Wolff, K. T. (2024). Mass exodus? Police officer turnover intention and organizational commitment in New York City. Policing: An International Journal. n = 1,823; outcome is turnover intention, not departure. Study
  5. König, C. J., Richter, M., & Isak, I. (2022), Management Research Review, 45(3), summarising Lefkowitz & Katz (1969), Personnel Psychology, and later replications. Paper (PDF)
  6. Tyson, J., & Charman, S. Leaving the table: organisational (in)justice and the relationship with police officer retention. Criminology & Criminal Justice, 25(4). 27 interviews with officers who had voluntarily resigned from one English police force; qualitative, not a prevalence estimate. Study
  7. Hassan, S., Wright, B. E., Baluran, D. A., & Baker, D. B. (2026). Motivation, burnout, and resignation: a longitudinal study of law enforcement officers. Review of Public Personnel Administration. Two 2019 surveys linked to actual resignation records at a state law enforcement agency over the following three years. Association, not proof of cause. Study
  8. Hoogesteyn, K., Hofer, M. S., Taniguchi, T. A., & Rineer, J. R. (2025). Addressing Police Turnover: Challenges, Strategies, and Future Research Directions. RTI Press, OP-0096-2503. A narrative review. Publication
  9. Riedy, S. M., et al. (2020). Fatigue and short-term unplanned absences among police officers. Policing: An International Journal, 43(3), 483–494. 513,666 shifts and 4,868 absence events from two decades of one department’s payroll records; studies fatigue and absence, does not link absence to later turnover. Study (PDF)
  10. Drew, J. M., Sargeant, E., & Martin, S. (2024). Why do police consider leaving the profession? Policing: A Journal of Policy and Practice. N = 2,669 US officers; outcome is turnover intention. Organizational stress standardised effect 0.12 versus operational stress 0.07. Study