Your Plan Design Has a Leak
You spent months picking deductible levels, tiering the network, maybe even adding a care management program. You built a plan meant to hit specific cost targets. Then your employees used it wrong, and the actuarial assumptions fell apart.
This isn't an HR problem. It's a CFO problem. When employees don't understand how their plan works, they make worse decisions. Worse decisions drive worse utilization.
Worse utilization erodes the ROI of every design choice you made. Every plan design investment, from HDHP adoption to network tiering, erodes when the people using the plan don't understand it. The financial risk isn't administrative waste. It's systematic.
The Benchmark Data Is Already Broken
Before you assume your plan is performing, check the data you're benchmarking against. The KFF 2025 Employer Health Benefits Survey had a combined response rate of 17%, down from 30% the prior year, due to a methodology oversight. That's the most cited benchmark in employer health benefits, and it dropped nearly half its reliability in one cycle.
It gets worse. The same survey flagged that 46 variables had imputation rates exceeding 20%, mostly plan-level statistics. Those are the exact numbers CFOs use to validate plan design decisions.
You may be benchmarking against data that isn't there. If the industry's best data has this much noise, your internal utilization assumptions need to be airtight. And they won't be if your employees are flying blind.
Confusion Costs Real Money
Here's how the leak works in practice. An employee doesn't understand their deductible. They skip a preventive care visit because they assume it costs money.
That missed screening becomes a late-stage diagnosis two years later, and your stop-loss attachment point gets tested. Or they don't understand the tiered network. They go out-of-tier, you pay more, and the whole point of the tiering strategy disappears.
Or they hit the emergency department for something urgent care would've handled at a fraction of the cost. A Commonwealth Fund employer collaborative found the inverse is also true. When plan information and incentives are structured clearly, utilization patterns shift.
That same collaborative doubled cancer screenings and reduced ED use. Preventive care engagement hit 69% by 2010, up from near-baseline levels in 2006. Behavior moves when people understand what they're supposed to do.
What CFOs Actually Need to Track
Most CFOs are watching premium trends and renewal rates. Fewer are tracking whether utilization patterns match the assumptions embedded in plan design.
If you moved to an HDHP to shift behavior toward high-value care, but your employees don't understand how the deductible works, the HDHP isn't doing what you paid for it to do. The Mercer employer health survey found employers are already challenged just keeping healthcare affordable as costs climb. That pressure gets worse when plan design ROI is undermined from the inside.
Even the federal government's own health plan has this problem. The OPM Office of Inspector General flagged erroneous payments under the Federal Employees Health Benefits Program, the largest single employer health plan in the country. Administrative and oversight gaps exist at every scale.
Your plan isn't immune. The question isn't whether your employees are confused. Most are.
The question is how much that confusion is costing you in misdirected utilization, wasted plan design spend, and avoidable claims.
| Design Choice | Goal | Confusion Impact | Cost Result |
|---|---|---|---|
| HDHP adoption | Reduce low-value utilization | Skips all care, not just low-value | Deferred claims spike later |
| Network tiering | Shift volume to lower-cost providers | Defaults to familiar providers | Out-of-tier cost leakage |
| Preventive coverage | Catch conditions early | Assumes it costs money, skips it | Higher-acuity claims downstream |
| Care management | Reduce avoidable ED visits | Doesn't know program exists | ED overutilization persists |
Every row in that table is a line item on your plan budget that's underperforming. Not because the design is wrong. Because it's invisible to the people it's supposed to change.
If you can't connect utilization patterns back to whether employees understand the plan, you're funding a design strategy with no feedback loop. That's not a benefits problem. That's a financial controls problem.