By Simon Foley, Director of Sales Engineering, Fingermark
Could your drive-thru metrics actually be making the customer experience worse? Controversial thought, but picture this:
A car gets moved out of the drive-thru queue into a wait bay. The timer stops. The dashboard turns green. The target’s met. Everyone is happy.
Except for the customer.
They’re still waiting.
Possibly forgotten.
Unlikely to return.
That’s the fundamental problem with how drive-thru performance is measured today.
The disconnect between targets and customer experience
Economist Charles Goodhart put it best: “When a measure becomes a target, it loses its ability to measure true quality.” Drive-thru is one of the clearest examples of Goodhart’s Law in business today.
Customers don’t know when a timer starts. They don’t experience loop sensors.
They experience one continuous journey – from entering the property to driving away. So when a car sits unacknowledged for 90 seconds, or gets parked in a wait bay while the crew moves on, to them, that’s still waiting.
But traditional metrics tell a different story. When the metric becomes the target, teams are incentivized to hold the order at the speaker. Move the car off the sensor. Protect the number.
The dashboard says “fast.” The customer says “I waited too long.”
That’s not a people problem. That’s a measurement problem.
What a customer’s scorecard would look like
Imagine customers built the scorecard instead. It would ask:
- How long until someone even acknowledged me?
- What’s the total journey time, from entry to exit?
- How long did I sit forgotten in a wait bay?
- Did I abandon the queue before I even ordered?
- Would I come back?
That’s the only scorecard that actually predicts revenue.
Measuring 2026 operations with a 1980s ruler
Loop timers were designed 40 years ago for simple, single-lane, low-volume drive-thrus. Today’s reality – multi-lane configs, digital pre-orders, pull-forward lanes, wait bays – is being measured through a handful of 1980s data points. We’re running 2026 operations on a 1980s ruler.
That’s not a small gap.
That’s a blind spot big enough to lose customers in.
A better way to measure the journey
Vision AI changes what’s measurable.
Eyecue doesn’t just clock a car crossing a line – it shows you the whole journey in real time: where queues build, how long until acknowledgement, how many cars get pulled forward and what actually happens to them, and where customers give up and leave.
Suddenly, crew aren’t gaming a number. They’re solving real bottlenecks, in the moment. They’re doing the best thing for the customer, and not being penalized.
Because the goal was never to make the dashboard green. It’s to serve customers well enough that they come back.