Management was certain compensation was driving the departures. The diagnostic told a different story — and the redesign followed the data.
MiningA hard-rock underground mining operation had been losing skilled workers to local oil and gas competitors at a rate well above industry norms. The leadership team had concluded that compensation was the issue and was preparing a wage adjustment estimated at $4.8 million annually. The diagnostic phase examined exit interview data, stay interview themes, and tenure-curve patterns — and identified that the schedule was the largest single driver of voluntary departures, not compensation. A schedule redesign that addressed the specific features driving exits cut voluntary turnover by 58% in the first year, at a fraction of the cost of the planned wage adjustment.
An underground hard-rock mining operation running a four-crew 24/7 continuous schedule with Day, Afternoon, and Night shift coverage. Approximately 480 workers across underground production, surface operations, and maintenance. The operation was located in a region with active oil and gas employment competition, including operators offering 14-day-on / 14-day-off rotations that had become the regional standard for skilled tradespeople. Mine operated on a fixed-crew structure with workers permanently assigned to one of the four crews, rotating through Day, Afternoon, and Night.
Voluntary turnover had been running at approximately 18% annually for three years — well above the historic mine baseline of 6–8%. Skilled trades, including mechanical and electrical maintenance positions, were the most affected categories, with departures concentrated in the 2–5 year tenure band. Management had drafted a wage adjustment package targeting market parity with the competing oil and gas operators, with an annual cost in the range of $4.8 million.
The proposed wage package was a significant ongoing cost, and there was reasonable concern within the leadership team that even at full market parity, the mine would still be at a disadvantage on schedule terms compared to the 14/14 rotation offered by oil and gas competitors. If the wage adjustment did not actually solve the problem, the operation would be carrying both the new payroll cost and the same retention challenge. Leadership wanted to test whether compensation was actually the primary driver before committing to the spend.
Phase 1 · Business Assessment
We pulled three years of exit interview data, supplemented by structured stay interviews with current workforce members across tenure bands. We mapped the tenure curve to identify where in the employment lifecycle workers were leaving. We compared the schedule features of the mine’s four-crew rotation against the competing 14/14 rotations available from oil and gas operators. We analyzed compensation data to confirm or refute the assumption that pay was the primary driver.
Compensation was a factor — the mine was paying roughly 8–12% below market for the most-affected trades — but exit interview data indicated schedule was named as the primary or co-primary driver in 64% of voluntary departures. Workers cited three specific schedule features: the rotation through Day, Afternoon, and Night shifts (cited by 47% of departures), the lack of consecutive days off comparable to the 14/14 alternative (38%), and the unpredictability of weekend work assignments (29%). The tenure curve showed departures concentrated in the 2–5 year band, after the initial commitment period had passed but before workers reached the wage tiers and seniority benefits that would tie them to the operation longer-term.
When workers say they left for higher pay elsewhere, they often mean that higher pay was the deciding factor among options that had already become viable for other reasons. The schedule that pushed them to start looking is usually the more important variable.
Phase 2 · Workforce Assessment
We conducted structured stay interviews with current workforce members at every tenure band, focusing on the schedule features identified in the exit data. The conversations validated and refined the picture: workers in the high-risk 2–5 year band confirmed that they had begun looking elsewhere not because of pay but because of schedule fatigue, and that pay parity from a competitor was the deciding factor only after the schedule had pushed them to start looking. Workers also expressed strong interest in fixed-crew alternatives that would reduce the rotation through three different shift types, even at the cost of giving up some scheduling flexibility.
Phase 3 · Solution Design
The redesigned schedule moved from a single rotating four-crew model to a hybrid structure: a fixed Day crew, a fixed Afternoon crew, and two rotating crews covering Night shift and weekend coverage. Workers could opt into the fixed crews based on seniority and capability, with rotation only required for those who chose it or were needed for specific operations. A modest schedule premium was added for the rotating crews to reflect their increased flexibility burden. A 6-on-3-off pattern was introduced for the fixed crews, providing the consecutive days off that workers had identified as a primary attraction of the competing 14/14 rotations.
Phase 4 · Implementation Preparation and Rollout
The implementation manual addressed crew assignment criteria, the bid process for fixed-crew positions, the rotation rules for the rotating crews, and the premium structure. Management signed off on the package after confirming that the operational coverage requirements held under the new structure. Rollout took ten weeks, including a two-week transition period during which the new and old crew assignments overlapped to ensure operational continuity. A modest wage adjustment in the 3–5% range was included alongside the schedule change to address the genuine compensation gap, but at substantially lower cost than the original 8–12% parity package.
Measured against the client’s stated objective:
| Metric | Before | After |
|---|---|---|
| Voluntary turnover, annualized | 18% | 7.5% |
| Schedule-cited departures, share of total | 64% | 21% |
| Skilled trades departures, year one | Baseline | Down 62% |
| Annual cost of original wage parity package | +$4.8M projected | +$1.4M actual (3-5%) |
| Time-to-fill for skilled trades vacancies | ~94 days | ~38 days |
Workforce satisfaction improved measurably, particularly among the workers who opted into the fixed-crew positions. The 6-on-3-off pattern was widely regarded as the most significant change. Recruiting improved as the new schedule became known in the regional labor market — the mine began attracting candidates who had previously chosen oil and gas alternatives specifically for the schedule terms. The retention improvement has held through the second year of operation under the new structure.
The Design Principle: When voluntary turnover is high, compensation is usually the symptom that gets named in exit interviews because it is the easiest answer to articulate. The actual driver is often the schedule — specifically, the features of the schedule that compete poorly with whatever alternative the workforce has access to.
The pattern in retention engagements is that workers articulate their reason for leaving in the language that is socially acceptable and easy to defend — usually compensation. The actual decision-making process is more complex, and the schedule is often the variable that pushed them to start looking in the first place. The diagnostic that distinguishes the trigger from the deciding factor is what makes the difference between an effective intervention and an expensive one that doesn’t solve the problem.
A second pattern: in operations facing competition from industries with fundamentally different schedule structures — mining versus oil and gas, manufacturing versus distribution, healthcare versus retail — achieving full schedule parity may not be possible without compromising the operation. The goal is to close enough of the schedule gap that compensation can take care of the remainder, rather than trying to solve the entire problem through wages alone.
If your operation is losing workers in a competitive labor market and the planned response is a wage adjustment, the most useful first step is testing whether compensation is actually the largest variable driving the exits. The answer changes the cost and structure of the response significantly — and the data needed to answer the question is usually already in the exit interview file.
Shiftwork Solutions LLC has guided hundreds of engagements across food manufacturing, distribution, pharmaceuticals, automotive, and other 24/7 and shift-based operations over more than three decades. Visit shift-work.com to start a conversation.
