You rated the stay a 6. What would have made it a 10?
D
Post-Stay Survey
Evaluator agent · 1.9K uses
Evaluator Agent
Delivery and Takeout Experience Feedback
A platform rating blends your kitchen with a courier you do not employ. Off-premise orders fail in three different places and the rating blames all of them equally: food that does not travel, an order missing an item, and a courier who took too long. Each has a different owner. This conversation attributes the failure correctly.
Reorder rate lifted
Failures attributed correctly
Packaging problems identified
Used 915+ 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 the food arrived: temperature, condition and packagingWhether the order was complete and correctActual timing against what was promisedWhether the failure was food, packaging or courierWhether anyone resolved itLikelihood to order again
Questions it always asks
The core fields every response captures.
Always ask whether the order was complete and correct
Always compare actual timing against what was promised
How it adapts
Follow-ups that change based on what people say.
If the food arrived cold or damaged, ask about the packaging specifically
If the order was incomplete, ask what was missing and whether anyone resolved it
Where it routes people
Different paths for different answers.
Send packaging failures to the operations team with the item named
Route courier problems to the platform relationship owner
Automations it can trigger
Actions that fire the moment a response comes in.
Alert #off-premise in Slack when one location repeats order errors
Create a Zendesk ticket for unresolved incomplete orders
Update the location record in HubSpot with the failure mix
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI agent works
The conversation asks about a recent takeaway or delivery order: how well the food arrived, whether it was hot, intact and packaged properly, whether the order was complete and correct, and how the actual timing compared with the promise. It separates food quality from packaging from courier performance and closes on whether they would order from that restaurant again.
Getting started
- 1
Trigger after the order is marked delivered, on your own channel or via the platform
- 2
Decide how results split between your kitchen, your packaging, and the courier
- 3
Capture the promised time so timing can be compared honestly
- 4
Route each failure type to the team that owns it
Template Details
- Agent Type
- Evaluator
- Category
- Hotels and hospitality
- Industry
- Hotels & Hospitality
- Business outcome
- Improve customer satisfaction
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Slack, Hubspot, Zendesk
- Times Used
- 915+
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.
- Platform ratings combine food quality, packaging and courier performance into one score, and the restaurant is held accountable for all three regardless of cause.
- A low rating rarely says whether the food was bad or simply arrived cold, which are different problems owned by the kitchen and by packaging respectively.
- Incomplete orders are frequently resolved by the platform without the restaurant ever learning which items go missing or why.
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 separates food quality from packaging performance from courier timing, so each failure routes to whoever can actually fix it.
- It asks specifically whether the order was complete and correct, which surfaces missing item patterns that platform refunds hide from the kitchen.
- Comparing actual timing against the promise identifies whether the problem is preparation time, courier assignment or an unrealistic estimate.
What is a takeout experience survey?
It is feedback on an off-premise order covering how the food traveled, whether the order was right and how the timing compared with the promise. It exists because delivery platform ratings blend several independent causes into a single number that the restaurant cannot decompose and is nonetheless judged on.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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