The Voluntary Attrition Spike at Meridian Logistics
Meridian Logistics, a 2,400-employee third-party logistics firm, saw voluntary attrition among warehouse associates rise from 22% to 41% in twelve months. HR's exit survey (n=310, 34% response rate) flagged 'pay' as the top reason. However, the compensation team's market benchmark shows base pay at the 52nd percentile, and the last engagement pulse found pay satisfaction at 3.6/5. Two new distribution centers opened 40 km away, each offering a $1.50/hour premium and signing bonuses. Median tenure for leavers is 4.2 months, versus 3.1 years for stayers. Overtime hours climbed 18% while headcount stayed flat, and first-line supervisor span of control rose from 1:14 to 1:26. The COO wants a market-rate pay increase approved immediately; the CHRO is not convinced pay is the real driver.
1. Evaluate whether the exit-survey 'pay' finding should drive the COO's proposed across-the-board pay increase. What alternative diagnosis and evidence would you present?
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The exit-survey finding is weak evidence for a pay-led diagnosis, and a blanket increase would likely be expensive and mis-targeted.
Diagnostic problems:
- Response bias - 34% response is low, and leavers who left for higher-paying competitors are over-represented among respondents. The 66% who did not respond may have left for very different reasons.
- Attribution bias - 'Pay' is a socially acceptable, easy-to-articulate reason; leavers rarely cite 'my supervisor had 26 direct reports and I got no coaching.'
- Contradictory signals - Base pay at the 52nd percentile is competitive, and pay satisfaction at 3.6/5 is not a crisis score. If pay were the driver, we would expect lower satisfaction and below-market positioning.
- Timing signal - Median leaver tenure of 4.2 months points to onboarding, role realism, or early supervisor experience, not long-run pay erosion.
Alternative diagnosis: The span-of-control jump from 1:14 to 1:26 plus 18% more overtime suggests a workload and supervision-capacity problem. New hires are likely hitting an under-supported, high-overtime environment in their first 90 days and leaving. The nearby DCs' premium is a pull factor, but it explains where people go, not why they were ready to leave.
Evidence to gather before deciding: Segment attrition by tenure band, shift, supervisor, and site. Run stay interviews with 6–12 month associates. Compare overtime and schedule volatility by team. Test whether attrition is concentrated in teams with the highest spans. Only then decide whether the intervention is pay, supervisor ratios, scheduling, or onboarding.
2. The COO insists on acting within two weeks. Propose a sequenced response that addresses immediate competitive pressure while generating the evidence the CHRO wants.
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A two-track response lets the COO act without committing to a costly, possibly wrong, permanent structure.
Immediate (weeks 1–2):
- Introduce a targeted retention premium for the highest-risk segment (e.g., associates at 0–6 months on the shifts with the worst overtime), not an across-the-board raise. This is reversible and cheap to evaluate.
- Cap supervisor spans at 1:18 by reallocating two team leads per site and temporarily pausing non-critical projects that consume floor supervision time.
- Reduce schedule volatility for new hires: publish schedules 14 days out and cap mandatory overtime in the first 90 days.
Short-cycle evidence (weeks 2–8):
- Launch stay interviews and a 90-day pulse survey.
- Build a weekly attrition dashboard segmented by tenure, supervisor, shift, and overtime hours.
- Compare the retention premium cohort against a matched comparison group.
Decision gate (week 8–10): Review whether attrition in the treated segment falls relative to comparison. If it does, extend; if not, the pay hypothesis is falsified and resources shift to supervision and scheduling.
Communication: Tell the COO the premium buys time and protects the peak season; tell the CHRO the design produces a clean test. Both get what they need without locking in a permanent 4–5% payroll increase on weak evidence.