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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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
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
Overall, how satisfied were you with your visit?
Please rate the following aspects of your visit.
- Food quality
- Food temperature and freshness
- Speed of service
- Staff friendliness
- Cleanliness of the restaurant
- 외 2개
Compared to what you expected before arriving, how did the meal turn out?
How likely are you to recommend us to a friend or colleague?
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.'
How likely are you to dine with us again?
- Definitely will
- Probably will
- Not sure
- Probably not
- Definitely not
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
Was there a dish or staff member you'd like to call out, good or bad? (Optional)
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
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.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
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이 템플릿을 선택하는 이유
- 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 TemplateA 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.
잘하는 점
- 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
아쉬운 점
- 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 & QuestionsA 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.
잘하는 점
- 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)
아쉬운 점
- 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 TemplateA 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.
잘하는 점
- 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
아쉬운 점
- 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
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