Drive-thru order accuracy: where mistakes start and how to check

Drive-thru mistakes start at one of five steps: the guest is misheard at the speaker, the order is keyed in wrong, a modifier or drink detail is missed, the bag is made or packed wrong, or the right bag goes to the wrong car. In the 2025 QSR Drive-Thru Report, 87% of orders across 13 chains were accurate.

A single accuracy rate hides the step that failed. This guide traces each mistake to the step where it starts and gives you an audit that sorts your own errors the same way. It applies to any lane, whether a crew member or an AI takes the order. For what AI vendors' own accuracy figures count, see our guide to AI drive-thru accuracy.

Where do drive-thru order mistakes start?

The 2025 QSR Drive-Thru Report, run with Intouch Insight, is based on 165 mystery-shop visits at each of 13 chains in June and July 2025. Its findings map onto the steps below. The last column is our suggestion.

Step	What goes wrong	What the 2025 study found	First fix to try
Speaker	The crew mishears the guest, or the guest has to repeat	Accuracy was 16 percentage points higher when the speaker was clear, 12 points higher when the shopper did not have to repeat the order, and 11 points higher when the volume was loud enough	Test the speaker from a running car; fix audio before retraining anyone
Order entry and the confirmation board	The crew hears the order right and keys it in wrong	Accuracy was 26 points higher when the order confirmation board showed the order correctly. It was 64% when the board was wrong	Read the order back while looking at the board, and ask the guest to check it
Drinks and modifiers	"No ice," a swapped sauce or a removed topping is lost before it reaches the ticket or the cup	Missed ice requests caused 51% of mistakes, per Intouch's notes on the study	Read every drink detail back, and print changes where the drink maker sees them
Make line and bagging	A wrong item, a missing side or a missing sauce	Wrong items caused 25% of mistakes. The notes do not say at which step	Check each bag against the ticket before it leaves the window
Handoff	The right bag goes to the wrong car, often after two lanes merge	Not reported in the public write-ups	Put a car description or the guest's name on the ticket and check it at the window

The missed-ice and wrong-item shares come from Intouch's October 2025 notes on the study. Our speaker post guide covers the audio test, and the dual-lane guide covers ways to match bags to cars after a merge.

When do mistakes happen most?

The report found accuracy was best in the afternoon (1:31 p.m. to 4 p.m.) at 90%. Breakfast scored 88%, lunch 87% and dinner 86%. Overall accuracy was 87% in 2025, against 89% in 2024, and the report notes that new chains joined the 2025 study.

For a single store, that means auditing dinner as well as lunch. Compare your store with its own past weeks, since chain averages come from other menus and lanes.

How do you audit a sample of orders?

You need a spare headset, a second person and a printed sheet. Check each order at three points: what the guest said, what the ticket says and what is in the bag.

1. Pick a rush hour and a dinner hour. Aim for 30 orders in each.
2. Listen on the spare headset and write down what the guest asked for, including every change and drink detail.
3. When the ticket appears, compare it with your notes. If the order taker misheard or asked for a repeat, mark the speaker. If they heard it right and the ticket is wrong, mark order entry.
4. Before the bag leaves the window, check it against the ticket, cup by cup and sauce by sauce. Write the error down first, then fix it so the guest gets the right food.
5. At the window, check the car description or name against the ticket. A mismatch counts as a handoff error.
6. Add that day's complaints and remakes as a separate line. They catch what your check missed.

Order	What the guest asked for	Ticket right?	Bag right?	Right car?	Error type	Step where it started
1 (example)	Two number 3s, one with no onion; a large cola with no ice	No: "no ice" missing	No	Yes	Drink modifier	Order entry
2
3

Your audit counts errors at each step, including some the crew would have caught anyway. The study's shoppers checked their food after they received it. The two rates measure different things, so compare your store with its own past audits.

How do you read the results?

Here is a made-up audit. Of 60 orders checked, 54 had no error. One started at the speaker, two at order entry, two in bagging and one at the handoff.

Step	Errors in 60 orders
Speaker	1
Order entry	2
Make line and bagging	2
Handoff	1
All steps	6, so 54 of 60 orders were right

In this sample, entry and bagging account for four of the six errors, so the readback and the bag check come first. With 60 orders, each error moves the rate by about 1.7 points. One bad hour can swing the result, so run the same hours again two weeks after a change before you decide it worked.

Does an AI order-taker change where mistakes start?

An AI order-taker takes over the speaker and order entry. The make line, the bag and the handoff stay with your crew. Run the same audit, add a column for who took each order, and count orders the crew took over as their own group. The AI drive-thru pilot checklist lists what else to record in a trial.

Maple's drive-thru unit, in early access with a small number of restaurants, shows each item and the running total on its own screen, which does the job of a confirmation board for the guest. Guests can ask for a person at any time, and a one-press switch returns the lane to the crew.

What should you change first?

1. Run the audit at two dayparts and find the step with the most errors.
2. Fix that step only: the speaker, the readback, the drink station, the bag check or the handoff.
3. Write the new routine on a card at the station, such as "read drinks back last" or "check sauces before closing the bag."
4. Audit the same hours two weeks later with the same sheet.
5. Keep the change if errors at that step fell and the order point time did not rise.

Our greeting and order script has readback lines that cover drink details.

Published by Maple, which sells phone ordering and an early-access drive-thru unit. This AI-assisted guide combines the 2025 QSR Drive-Thru Report and Intouch Insight's study notes with an original error map and audit sheet. The audit example is made up. It does not report a Maple accuracy test or promise fewer mistakes from any product.