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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. 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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