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Restaurant Guest Satisfaction & NPS Survey

Measures guest satisfaction across food quality, service, ambiance, and value while capturing Net Promoter Score. Designed for restaurant operators seeking to identify loyalty drivers and prioritize operational improvements.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

19 questions · ~9 min
Q01
Message

Welcome, and thank you for taking a few minutes to share your feedback. This survey asks about your most recent restaurant experience. There are no right or wrong answers — we are simply interested in your honest opinions. Your responses are completely anonymous and will be reported only in aggregate to help us improve. Participation is voluntary and you may stop at any time. Estimated time: 4–6 minutes.

Q02
Dropdown

When did your most recent visit or order with us take place?

  • Within the last 7 days
  • 8–14 days ago
  • 15–30 days ago
  • More than 30 days ago
Q03
Opinion Scale

Overall, how satisfied were you with your most recent experience?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q04
Opinion Scale

How would you rate the quality of the food you received?

Scale: 1 – 7
Min:Very poorMax:Excellent
Q05
Ranking

Please rank these factors by how important they are when choosing a restaurant like ours. Drag to reorder (1 = most important).

  1. Food quality
  2. Service (friendliness and speed)
  3. Ambiance and atmosphere
  4. Value for money
  5. Cleanliness
Drag to rank
Q06
AI Interview

Thinking about the ratings you just provided, what stood out most about your experience — positively or negatively?

Q07
Dropdown

What is your age group?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65 or older
  • Prefer not to say
Q08
Message

Thank you for sharing your feedback! Your responses will help us improve your future dining experiences. We truly appreciate your time.

Q09
Multiple Choice

How did you place your most recent order or visit?

  • Dine-in
  • Takeout
  • Delivery
  • Drive-thru
  • Curbside pickup
  • Other
Q10
Opinion Scale

How likely are you to recommend us to a friend or colleague?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q11
Opinion Scale

How would you rate the friendliness and helpfulness of the staff?

Scale: 1 – 7
Min:Very poorMax:Excellent
Q12
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary / gender diverse
  • Prefer not to say
Q13
Dropdown

Approximately how often do you visit or order from us?

  • This was my first time
  • A few times a year
  • About once a month
  • 2–3 times a month
  • Once a week or more
Q14
Opinion Scale

How would you rate the speed of service or order fulfillment?

Scale: 1 – 7
Min:Very slowMax:Very fast
Q15
Opinion Scale

How would you rate the ambiance and atmosphere?

Scale: 1 – 7
Min:Very poorMax:Excellent
Q16
Opinion Scale

How would you rate the cleanliness of the restaurant or packaging?

Scale: 1 – 7
Min:Very poorMax:Excellent
Q17
Opinion Scale

How would you rate the overall value for money?

Scale: 1 – 7
Min:Very poor valueMax:Excellent value
Q18
Dropdown

Approximately how much did you spend per person (before tip and tax)?

  • Under $10
  • $10–$19
  • $20–$34
  • $35–$49
  • $50–$74
  • $75 or more
  • Not sure
Q19
Multiple Choice

Did you experience any of the following issues during your visit? Select all that apply.

  • Long wait time
  • Order accuracy issue
  • Rude or unhelpful staff
  • Cleanliness concerns
  • Excessive noise level
  • Food served at wrong temperature
  • None of the above

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • AI follow-ups automatically dig deeper when respondents report low satisfaction, uncovering root causes that static surveys miss
  • Academic-grade scale construction with rubric-checked questions—no leading language or attention checks that bias results
  • Every prompt, model, and logic branch is fully transparent and logged for reproducibility, unlike black-box competitor analytics
  • AI interviewer dynamically follows up on churn reasons—if a customer says 'too expensive,' it probes whether that's absolute cost, perceived value, or competitive pricing
  • Separate templates for exit diagnostic vs. win-back capture both the 'why they left' and 'what would bring them back' with distinct methodological approaches

SurveyMonkey

Customer Satisfaction Survey Template

SurveyMonkey's flagship CSAT template is expert-certified and widely used, covering overall satisfaction, NPS, and CES together. It offers solid distribution channels (email, SMS, web links, QR codes) and built-in CSAT score calculation. However, it relies entirely on static pre-written questions with no adaptive probing.

What it does well

  • Expert-certified methodology with built-in CSAT scoring formula and industry benchmarks
  • Extensive distribution options including SMS, email, web links, and QR codes
  • Large ecosystem with 400+ templates and cross-template metric comparison

Where it falls short

  • No AI-powered follow-up questions—open-ended responses are passive, not probed
  • Relies on demographic segmentation after the fact rather than real-time adaptive questioning
  • Paid plans required for advanced features; Team plans range from $25-$75/user/month which adds up fast

Typeform

Top Customer Satisfaction Survey Questions & Template

Typeform emphasizes a conversational, one-question-at-a-time interface designed to feel like a conversation rather than a form. Their CSAT template has good UX advice around avoiding bias and question timing, but ultimately all branching is pre-defined—there's no intelligent adaptation based on responses.

What it does well

  • Beautiful conversational UI that asks one question at a time, boosting completion rates
  • Strong guidance on avoiding biased language and proper survey timing
  • 300+ integrations with tools like Slack, HubSpot, and Google Sheets

Where it falls short

  • No AI follow-up capability—branching logic must be manually pre-configured for every path
  • No prompt or model transparency; the 'conversational' feel is purely visual, not intelligent
  • Limited methodological rigor—templates are light on proper academic scale construction

SurveySparrow

FREE Customer Satisfaction Survey Template

SurveySparrow's CSAT template features a chat-like interface and claims 40% higher response rates. It includes recurring survey scheduling, multi-channel distribution, and conditional logic. However, its AI capabilities are limited to text analytics on collected responses rather than intelligent in-survey probing.

What it does well

  • Chat-like conversational interface with claimed 40% higher response rates
  • Recurring survey scheduling for automated pulse checks over time
  • Conditional logic with skip/display rules to reduce survey fatigue

Where it falls short

  • AI features limited to post-collection text analytics (CogniVue)—no in-survey AI follow-ups
  • No transparency into how their AI text analytics models work or what prompts drive analysis
  • Template questions are generic and not tailored to specific CX touchpoints like chatbot handoffs or checkout friction

Jotform

Online Shopping Survey

Jotform's online shopping survey template is a basic form-builder approach—fully customizable with drag-and-drop, 100+ integrations, and free to use. It's functional but lacks any CX-specific methodology, AI capabilities, or sophisticated survey design principles.

What it does well

  • Completely free with no-code drag-and-drop customization
  • 100+ integrations including Google Drive, Dropbox, and Airtable
  • Report Builder tool for analyzing responses visually

Where it falls short

  • No AI-powered follow-ups or intelligent branching—purely static form fields
  • No built-in CSAT scoring, CES calculation, or CX-specific methodology
  • Generic shopping survey questions with no academic rigor or validated scale construction

Qualtrics

Customer Retention Survey Best Practices

Qualtrics offers enterprise-grade CX measurement with advanced features like Predict iQ for churn prediction and conversational analytics. Their approach is the most sophisticated among competitors, but it comes at enterprise pricing that's prohibitive for academics and small teams, and their AI operates as a black box.

What it does well

  • Predict iQ can analyze research data to predict which customers are about to churn
  • Conversational analytics for understanding emotion, effort, intent and sentiment at scale
  • Enterprise-grade action planning and closed-loop ticketing based on survey triggers

Where it falls short

  • Enterprise pricing is prohibitive for academics, startups, and small CX teams
  • AI analytics operate as a black box—no visibility into prompts, models, or logic flows
  • Templates are gated behind sales conversations; no free self-serve template access for most CX use cases

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