TL;DR
- Speed of service breaks into five numbers: greet time, menu time, window time, transaction time, and cars per hour.
- Most well-run multi-unit operators have already maxed out kitchen layout, prep timing, window staffing, and dual-lane levers.
- Order taking is the lever that stays inconsistent, because the station is shared with prep, payment, and the window, so its output tracks lane conditions rather than training.
- Moving order taking off the crew can free up 3 to 8 labor hours per store, per day, while holding 93%+ completion and 96% accuracy.
- Baseline your numbers for at least two weeks, then track weekly trends, not single shifts.
You run 10 or more stores. You already know speed of service moves check counts, labor cost, and guest complaints in that order. What you actually need is the list of levers, ranked by how much each one still has left to give, and an honest answer on which ones you’ve already squeezed dry.
That’s what this piece is. If you want the formal definition and how the metric is built, Hi Auto’s speed-of-service glossary entry covers it in depth. Here, we’re skipping straight to what to do about it.
What actually gets measured
Speed of service is five numbers, stacked end to end.
Greet time, how long a car waits at the speaker before anyone responds.
Menu time, how long it takes to actually place the order once someone’s talking to the guest.
Window time, the time from pulling up to the window to driving off with the bag.
Transaction time, the full loop, greet to departure, added together.
Cars per hour, the throughput number that actually shows up on your P&L.
You already track most of these. The question worth asking is which lever, if you pulled it again, would actually move the number.
The levers most operators have already pulled
Start with the honest part. If you’re running a well-managed multi-unit operation, you’ve probably already worked these:
Kitchen layout. You’ve rearranged the line, moved the fryer, shortened the walk between stations. There’s a limit to how much square footage can give you.
Prep timing. You’ve pushed proteins earlier, adjusted hold times, tightened the sequence between order and assembly. Most well-run kitchens are close to the ceiling here.
Staffing the window. You’ve scheduled your strongest people during peak, cross-trained for coverage, built the rotation that keeps someone at the window when it matters.
Dual-lane. If your stores have it, you’ve already tuned merge logic and lane balancing as far as it goes.
None of that is wasted work. It’s why your stores perform the way they do. But if you’re reading this looking for the next 30 seconds of transaction time, none of these levers has much left in the tank at a store that’s already well run. Read that as arithmetic rather than criticism. You’ve already tuned what there was to tune.
The lever that stays inconsistent
Here’s the one most speed-of-service advice skips, because it doesn’t live in the kitchen or at the window. It lives at the speaker.
An operator running 27 Checkers & Rally’s stores puts it plainly:
“The two toughest stations in the restaurant are fries and order taking. It was tough to find an order taker that consistently upsold and was kind to the guests.”
Jason Amell, Director of Operations, JASAM Enterprises (Checkers & Rally’s, 27 stores). Hi Auto customer video, “Real Stories from the Drive-Thru Frontline”, 2025. Watch the clip
Order taking sets the pace for every lever downstream of it, and it’s the one the operating model has never let you hold steady. The reason is structural. Order taking is a station the schedule asks one person to cover while they’re also working prep, payment, or the window, so its output tracks the conditions around that station rather than anyone’s effort or training. Lane pressure, lobby volume, and how many jobs the station is absorbing at that hour all move the number. Same store, same menu, same trained team, different conditions, different speed-of-service result.
Kitchen layout holds its shape no matter what the lane is doing. Order taking, as the job is currently designed, moves with everything happening around it. That’s the variable none of the layout fixes, prep timing, or scheduling tweaks above ever touch, and it’s a design problem you can actually change.
What changes when order taking comes off the crew
When order taking stops being one more job stacked on a shared station, three things shift at once.
Greet time stops being a function of who is free at that second. The guest typically gets a response as they pull up, rather than whenever the station comes free.
Items start hitting the kitchen screen as the guest is still talking, so prep can start before the order is even finished, rather than waiting for someone to key it in after the fact.
Staff stop multitasking across headset, prep, and payment, all three demanding attention from one person at once. Instead they can plant themselves at the window and focus on the handoff.
A Checkers store GM describes the shift in her own words:
“Now that we have her and she does everything for us, we’re able to say okay let’s get the order out let’s get the bag to beat the car, so it helps out a lot with her.”
Linda Ronda, Store GM, Checkers. Hi Auto customer video, 2025. Watch the clip
That’s the throughput point, in the words of someone running the store. The team’s attention moves from managing a headset to managing the handoff.
The throughput trade-off, handled honestly
Here’s the part worth saying plainly. Suggesting more items can slow an order down. A system that chases every possible upsell, every time, adds seconds at exactly the moment you can least afford them, a packed lane at 12:15 on a Friday.
A system built for the drive-thru backs off automatically when the lane is busy, protecting throughput over a marginal add-on. The upsell logic is doing its job in the moments it declines to push, as much as in the moments it succeeds.
If a vendor tells you their system upsells every order, every time, regardless of how backed up the lane is, ask what happens to your cars-per-hour number during your Friday dinner rush. That answer matters more than the upsell rate on a quiet Tuesday.
A 30-day measurement plan
Before you change anything, baseline it. Pull greet time, menu time, window time, transaction time, and cars per hour for each store, for at least two full weeks, covering both a slow daypart and your worst peak hour. Store-to-store and shift-to-shift variance is the thing you’re trying to fix, so you need to see it clearly before you can claim you’ve reduced it.
Then watch weekly, not daily. A single good shift, or a single bad one, is noise. A four-week trend in the same direction, across multiple stores and multiple shifts, is signal. Watch peak-hour performance specifically. That’s where staffing variability shows up hardest, and where a fix that only works on a slow Tuesday morning will fall apart.
What does a real improvement look like versus noise? Look for transaction time that holds steady across shifts, including your heaviest ones. Look for greet time that stops swinging with how busy the store happens to be. And if you’re evaluating an order-taking change specifically, look for the two numbers that have to move together: completion rate and accuracy. A system that completes 93%+ of orders while holding 96% accuracy is a sign the station is holding steady. That is the range Hi Auto reports across ~1,000 stores handling 100M+ orders a year. A system that completes more orders but gets more of them wrong hasn’t actually solved anything, it’s just moved the mistake downstream to the window.
The lever left to pull
You’ve already done the obvious work. Kitchen layout, prep timing, staffing, dual-lane, all pulled about as far as they’ll go at a well-run store. The lever left on the table is the one drive-thrus have always designed as a shared station, covered alongside two other jobs at once: order taking.
Fixing it doesn’t mean removing your team from the equation. It means freeing up 3 to 8 labor hours per store, per day, the range Hi Auto reports, so your strongest people spend that time at the window, on the food, and with the guest, instead of splitting attention across a headset, a screen, and a register. When those saved hours go back into expediting orders, Speed of Service improves by 15 to 20 seconds, the range Hi Auto reports. That’s the number worth checking against your own transaction-time baseline.
Start with the baseline. Watch the trend, not the day. And measure the lever you haven’t been able to fix yet, the same way you’d measure any other change to your operation: honestly, over weeks, against your own stores.
See what this looks like in your own numbers. Download the Labor ROI one-pager for the per-store math on labor hours and cost, and read the full speed-of-service definition for how each component metric is built.