Was there anything that could have made your stay better?
M
Hotel Guest Feedback Survey
Evaluator agent · 2.1K uses
Evaluator Agent
Restaurant Feedback Survey Template
Feedback forms miss why customers really left. Replace generic feedback forms with intelligent surveys that ask follow-up questions based on guest responses. Automatically route service complaints to management while capturing detailed insights about menu items, wait times, and staff performance.
Higher completion rates
Actionable insights
Real-time feedback
Used 2,389+ 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.
Questions it always asks
The core fields every response captures.
Overall satisfaction with tonight's dining experience
Likelihood to recommend this restaurant to friends
How it adapts
Follow-ups that change based on what people say.
If food rating is below 3, ask about specific dishes and preparation issues
If service rating is low, ask about wait times and staff interactions
Where it routes people
Different paths for different answers.
Send serious complaints immediately to restaurant manager
Route positive reviews to marketing team for online promotion
Automations it can trigger
Actions that fire the moment a response comes in.
Create Yelp response draft for negative feedback
Send Slack alert to kitchen manager for food quality issues
Add satisfied customers to email newsletter with dining offers
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 template works
Guests start with basic satisfaction questions, then the AI explores specific areas like food quality, service speed, or ambiance based on their initial responses. The conversation adapts to capture actionable details about their dining experience.
Getting started
- 1
Configure feedback categories and rating scales
- 2
Set up complaint routing rules and escalation triggers
- 3
Connect integrations for review management and staff notifications
- 4
Test the survey flow with sample dining scenarios
Template Details
- Agent Type
- Evaluator
- Category
- Customer feedback survey
- Industry
- Hospitality & Events
- Business outcome
- Improve customer satisfaction
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Email, Slack, Webhook
- Times Used
- 2,389+
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.
- Static feedback forms lose customers who don't want to rate 15 different aspects of their meal on identical scales. Guests abandon lengthy surveys, especially on mobile devices while trying to leave your restaurant.
- Rating-based forms tell you food got a 3/5 but never reveal if the issue was cold temperature, wrong order, or poor seasoning. You get scores without understanding what your kitchen or service team needs to fix.
- Traditional restaurant surveys can't ask follow-up questions when someone mentions slow service or rude staff. You miss the context needed to coach specific employees or adjust operational procedures.
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.
- AI conversations adapt to each dining experience, asking about the specific dishes ordered and services used. A conversation about steak quality naturally explores cooking temperature, while pasta feedback focuses on sauce and texture.
- When guests mention service issues, the conversation explores timing, staff interactions, and impact on their meal. You learn whether slow service meant 10 minutes or 45, helping prioritize kitchen workflow improvements.
- Conversational feedback captures the story behind ratings, revealing whether poor scores reflect minor annoyances or deal-breaking problems. You understand which issues cost you repeat customers versus one-time complaints.
What questions should restaurant feedback forms ask?
Effective restaurant feedback goes beyond generic satisfaction ratings to explore specific experiences. Ask about food temperature, service timing, staff interactions, and atmosphere. Focus on controllable factors like menu accuracy, wait times, and cleanliness. The most valuable feedback connects ratings to specific incidents your team can address. Adaptive conversations naturally explore these details based on what each guest actually experienced during their visit.
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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