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Restaurant Dining Experience Feedback Survey

Captures how diners rate food, service, value, and atmosphere after a specific visit, plus their likelihood to recommend and return. An AI follow-up interview digs into the concrete moment behind their recommendation score — what stood out or went wrong — so the team gets specifics they can act on, not just star ratings.

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Sample questions

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

13 questions · ~7 min
Q01
Message

Thanks for dining with us! We'd love your honest feedback on your recent visit so we can keep improving. Your responses are completely confidential and anonymized. This will take about 7 minutes.

Q02
Multiple ChoiceRequired

How often do you dine at restaurants like ours (Replace with restaurant name)?

  • This was my first visit
  • A few times a year
  • About once a month
  • A few times a month
  • Weekly or more
Q03
Multiple ChoiceRequired

What best describes your most recent visit?

  • Quick lunch
  • Dinner with family or friends
  • Date night
  • Business meal
  • Takeout or delivery
  • Special occasion (birthday, anniversary, etc.)
  • Other
Q04
Opinion ScaleRequired

Overall, how satisfied were you with your visit?

Scale: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q05
MatrixRequired

Please rate the following aspects of your visit.

7 rows × 5 columns
  • Food quality
  • Food temperature and freshness
  • Speed of service
  • Staff friendliness
  • Cleanliness of the restaurant
  • +2 more
Columns: Poor · Fair · Good · Very good · Excellent
Q06
Rating ScaleRequired

Compared to what you expected before arriving, how did the meal turn out?

Range: 1 – 5
Min:Fell well short of expectationsMax:Far exceeded expectations
Q07
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview

Reconstruct the specific moment behind the recommendation score the respondent just gave: what dish, staff interaction, or wait time drove it. If the score was 8 or higher, find the single detail that most delighted them and whether it's something they'd expect every visit. If the score was 6 or lower, pin down exactly what went wrong (order accuracy, pacing, temperature, staff attitude, price) and whether it was a one-off or a pattern from prior visits. Ask one natural follow-up to clarify vague answers like 'just okay' or 'nothing special.'

Q09
Multiple ChoiceRequired

How likely are you to dine with us again?

  • Definitely will
  • Probably will
  • Not sure
  • Probably not
  • Definitely not
Q10
Multiple Choice

Did any of the following happen during your visit? Select all that apply.

  • Long wait to be seated
  • Long wait for food
  • Order was wrong or missing items
  • Food was cold or undercooked
  • Staff seemed inattentive or rushed
  • Table or restroom was not clean
  • Bill or pricing issue
Q11
Short Text

Was there a dish or staff member you'd like to call out, good or bad? (Optional)

Q12
Multiple Choice

Which age range do you fall into?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q13
Message

That's everything — thank you for sharing your experience! Your feedback goes straight to our kitchen and front-of-house teams to help us improve every visit.

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

  • Goes beyond star ratings with an AI follow-up interview that reconstructs the specific moment behind a diner's recommendation score, surfacing concrete, actionable detail instead of just a number
  • Combines structured measurement (satisfaction scale, a matrix rating food/service/value/atmosphere, expectation comparison, recommend and return-likelihood scales) with open-ended probing in one flow
  • Includes a multiple-select 'what happened during your visit' question plus an optional callout field for specific dishes or staff, giving both quantifiable and narrative feedback
  • Built on a transparent-prompt AI platform with automated per-response quality scoring and auto-generated reports, available on a free tier or the $50/mo Business plan

Jotform

Restaurant Feedback Form Template

A ready-to-use static form template covering typical restaurant satisfaction questions, built on Jotform's drag-and-drop form builder. It's easy to customize and embed but relies on fixed question sets with no dynamic follow-up. Good for quick deployment, less suited to uncovering the 'why' behind a rating.

What it does well

  • Fast to deploy and customize via Jotform's widely used form builder
  • Likely includes ready-made fields for common restaurant metrics (food, service, cleanliness)
  • Broad integration ecosystem typical of Jotform templates

Where it falls short

  • Static form with no adaptive AI follow-up to probe the reasoning behind a score
  • No voice AI interview option
  • No published methodology on how questions were designed or scored

SurveyMonkey

Restaurant Feedback Survey Template & Questions

A pre-built questionnaire from a major survey platform, offering standard satisfaction and NPS-style questions with SurveyMonkey's analytics and benchmarking. It's a solid fielding-ready template but stays within fixed-question, self-report format. No mechanism to dig deeper when a diner gives a low or high recommendation score.

What it does well

  • Backed by SurveyMonkey's established analytics and reporting dashboard
  • Likely offers benchmark comparisons against other survey data
  • Simple to launch across channels (email, web, QR)

Where it falls short

  • No adaptive AI interview to explore the specific moment behind a rating
  • No voice-based interview option
  • Quality of individual responses isn't automatically scored the way QuestionPunk scores each answer

Typeform

Free Restaurant Feedback Form Template

A conversational-style form template using Typeform's one-question-at-a-time format, which feels more engaging than a traditional grid form. It still uses fixed, pre-written questions rather than AI-generated follow-ups tailored to each response. Good for a polished respondent experience, but limited for deep qualitative detail.

What it does well

  • Clean, conversational UI that Typeform is known for, likely improving completion rates
  • Free to use as a starting template
  • Simple logic branching between fixed questions

Where it falls short

  • No adaptive AI follow-up interview — logic jumps are pre-set, not generated from the actual answer content
  • No voice AI interview capability
  • No automated per-response quality scoring or transparent prompt methodology

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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