You rated the stay a 6. What would have made it a 10?
D
Post-Stay Survey
Evaluator agent · 1.9K uses
Evaluator Agent
Drive-Thru Experience Feedback
A fast lane that hands over the wrong order is worse than a slow one that gets it right. Drive-thru performance is managed almost entirely by timer, which optimizes the thing you can count rather than the thing that loses customers. A fast lane that hands over the wrong order is a worse outcome than a slower one that gets it right. This conversation measures both.
Order accuracy lifted
Perceived wait reduced
Equipment faults caught
Used 2,019+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Information it collects
How long the wait felt against expectationWhether the order was correct and completeThe speaker and window interactionsWhether anyone checked the orderThe location and daypartWhat would stop them returning
Questions it always asks
The core fields every response captures.
Always ask how long the wait felt, separately from any timer data
Always ask whether the order was correct and complete
How it adapts
Follow-ups that change based on what people say.
If the order was wrong, ask what was missing or incorrect and whether they came back
If the speaker was hard to hear, ask whether they had to repeat the order
Where it routes people
Different paths for different answers.
Send accuracy failures to the location manager with the daypart attached
Escalate equipment problems such as speaker quality to facilities
Automations it can trigger
Actions that fire the moment a response comes in.
Alert #restaurant-ops in Slack when accuracy dips at one location
Update the location record in HubSpot with the week's accuracy themes
Create a facilities ticket when speaker or headset issues repeat
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How this AI agent works
The conversation asks about one recent drive-thru visit: how long the wait felt against what they expected, whether the order came out correct and complete, how the speaker and window interactions went, and whether anyone checked. It closes on the question that matters commercially, whether anything about the visit would stop them using that location again.
Getting started
- 1
Trigger from a receipt QR code or app prompt shortly after the visit
- 2
Capture the location and daypart so results read against your staffing
- 3
Separate perceived wait from actual timer data so you can compare the two
- 4
Route accuracy problems to the location and to training
Template Details
- Agent Type
- Evaluator
- Category
- Hotels and hospitality
- Industry
- Hotels & Hospitality
- Business outcome
- Operate more efficiently
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Slack, Hubspot, Email
- Times Used
- 2,019+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Drive-thru timers measure the interval between sensors, which is precise, comparable and silent on whether the order was right. Optimizing it can actively increase errors as teams rush the handover.
- Accuracy is usually measured by complaint volume, which captures only the customers who bothered to return or call and badly understates the real rate.
- Speaker intelligibility, a common and cheap-to-fix problem, appears in no standard metric at all despite forcing order repetition that lengthens every transaction.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- The conversation asks how long the wait felt rather than how long it was, which is the measure that actually predicts return behavior and frequently diverges from the timer.
- It asks directly whether the order was correct and complete, producing an accuracy rate from customers rather than from complaints, which is typically a much higher and more honest number.
- Speaker and window interactions are covered separately, so equipment problems surface as equipment problems rather than as staff performance issues.
What is a drive-thru survey?
It is customer feedback on a drive-thru visit covering wait, accuracy and interaction. It exists because drive-thru performance is managed almost entirely through timers, which measure the one thing that is easy to instrument and miss the two things that determine whether the customer returns: whether the order was right and whether the experience was pleasant.
FAQ
Frequently Asked Questions
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