Guest Experience & Satisfaction Feedback Survey
Captures how guests rate their visit across cleanliness, staff service, value, and amenities, plus their likelihood to recommend and return. An AI follow-up interview digs into the specific moment behind their score — what went right or wrong and why — so you get root causes, not just numbers.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Overall, how satisfied were you with your recent visit?
How likely are you to recommend us to a friend or colleague?
Please rate each part of your experience.
- Cleanliness of the space
- Staff friendliness and helpfulness
- Check-in / arrival process
- Value for money
- Amenities and facilities
Did you encounter any problem or issue during your visit?
- No, everything went smoothly
- Yes, but it was resolved
- Yes, and it was not resolved
What stood out most positively about your visit?
- Staff service
- Cleanliness
- Value for money
- Amenities or facilities
- Location
- Atmosphere or ambiance
Reconstruct the specific moment that most shaped this guest's recommendation score. If they reported a problem, get exactly what happened, how staff responded, and whether it was truly resolved from the guest's perspective. If their score was high, find out precisely what delighted them so it can be replicated. If the score was low or middling without a reported problem, probe for the underlying friction they may not have flagged directly.
How likely are you to return within the next 12 months?
What was the primary purpose of your visit?
- Business
- Leisure or vacation
- Special occasion or celebration
- Visiting friends or family
How did you book or arrange your visit?
- Direct (website or phone)
- Online travel agency or third-party platform
- Walk-in
- Travel agent
How often do you visit us?
- First time
- Occasional (a few times a year)
- Regular (monthly or more)
- Prefer not to say
Which age range best describes you?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
That's everything — thank you for sharing your experience! Your feedback goes directly to our team and helps shape real changes to how we serve guests.
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
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- Goes beyond star ratings with an AI follow-up interview that reconstructs the specific moment behind each guest's recommendation score, surfacing root causes instead of just numbers
- Combines a matrix rating across cleanliness, staff, value, and amenities with dedicated opinion-scale questions for both likelihood to recommend and likelihood to return
- Captures context like visit purpose, booking method, visit frequency, and age range alongside a direct multiple-choice question on problems encountered, so low scores can be segmented and explained
- Includes a transparent chat-style intro and closing message, plus an automated report generated from responses — no manual tallying required
Jotform
Guest Feedback Survey Form TemplateA ready-to-use, customizable form builder template for collecting guest feedback, with Jotform's typical drag-and-drop editing and integrations. It's a static form rather than an interview-style survey, so all data comes from fixed fields the guest fills in. Good for quick deployment but not for probing why a guest gave a particular rating.
잘하는 점
- Easy drag-and-drop customization
- Broad integration ecosystem typical of Jotform
- Fast to deploy for general guest feedback collection
아쉬운 점
- No adaptive follow-up questioning — guests can't be asked to explain a low or high score
- No voice interview or screen-share task option
- No automated per-response quality scoring or root-cause reporting
SurveySparrow
Guest Feedback Survey Template for HotelsA conversational-style survey template aimed specifically at hotels, likely using SurveySparrow's chat-like UI to make filling out feedback feel more natural. It's still a fixed-question flow rather than a true AI-driven interview that adapts based on answers. Best suited to hotels wanting a friendlier-feeling static survey.
잘하는 점
- Chat-like conversational UI for higher completion feel
- Hotel-specific template framing
- Likely mobile-friendly presentation typical of SurveySparrow
아쉬운 점
- Conversational UI is not the same as adaptive AI probing — questions don't change based on the guest's actual answer
- No voice AI interview capability
- No transparent, publishable prompt methodology behind question logic
Typeform
Guest Satisfaction Survey Form TemplateA polished, one-question-at-a-time form template well suited to general guest satisfaction capture, leveraging Typeform's known design strengths. It relies on predefined branching logic rather than AI-generated follow-up, so nuance behind a score has to be inferred from fixed answer choices. Solid for lightweight, on-brand feedback collection.
잘하는 점
- Clean, high-completion-rate design typical of Typeform
- Simple one-question-at-a-time flow
- Easy to brand and embed
아쉬운 점
- Branching logic is pre-set, not dynamically generated from guest responses like an AI interview
- No voice interview or guided screen-share task option
- No automated quality scoring or root-cause report generation
자주 묻는 질문
“Guest Experience & Satisfaction Feedback Survey” 템플릿에는 어떤 질문이 포함되어 있나요?
바로 사용할 수 있는 질문 13개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Thanks for visiting us! We'd love to hear how your experience went so we can keep improving. Your responses are complete…” · “Overall, how satisfied were you with your recent visit?” · “How likely are you to recommend us to a friend or colleague?”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.
이 설문을 완료하는 데 얼마나 걸리나요?
응답자는 보통 질문 13개를 약 7분 안에 완료합니다.
템플릿을 수정할 수 있나요?
네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.
이 템플릿은 무료인가요?
네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
비슷한 주제의 다른 설문을 만나 보세요.
Customer Success Story & Case Study Discovery Survey
Surfaces customers whose results are strong enough to feature in a case study — capturing the before/after problem, quantifiable impact, and a quotable moment. The AI follow-up interview reconstructs the full narrative arc so marketing and customer success teams can identify and write up the best stories.
템플릿 보기Post-Stay Hotel Guest Experience Survey
Captures how guests rated check-in, room quality, staff, and value after a recent stay, plus their likelihood to recommend and rebook. An AI follow-up interview digs into the real story behind their score — what made or broke the stay — so hotel teams get specifics, not just star ratings.
템플릿 보기리조트 호텔 투숙객 경험 설문조사
예약 결정, 객실, 부대시설, 식음료, 직원 응대에 이르기까지 리조트 투숙 전반에 걸친 만족도를 측정하고, 다음에 어떤 부대시설에 투자할지 우선순위를 정합니다. AI 후속 인터뷰는 각 투숙객의 추천 점수를 이끌어 낸 구체적인 순간을 깊이 파고들어 숫자 뒤에 숨은 이야기를 드러냅니다.
템플릿 보기Hotel & Resort Guest Stay Evaluation Survey
Captures how guests experienced a recent stay — room quality, staff service, check-in/out, value, and amenities — and uses a best-worst trade-off to show which amenities actually drive satisfaction. An AI follow-up digs into the specific moment behind the guest's lowest-rated aspect instead of settling for a generic complaint.
템플릿 보기Resort Stay Experience Evaluation Survey
Captures how guests rate every stage of a resort stay — booking, check-in, rooms, amenities, staff, and value — and benchmarks loyalty with a recommendation score. An AI follow-up interview digs into the specific moments that drove each guest's score, surfacing what turned a detractor sour or what would push a passive guest into a promoter. Built for resort GMs and hospitality research teams.
템플릿 보기Hotel Check-In Experience & Front Desk Satisfaction Survey
Captures how guests experienced arrival and check-in — speed, staff interaction, and technology options — for hotels, resorts, and boutique properties. The AI follow-up interview digs into any friction points guests mention, reconstructing exactly what slowed them down or went wrong so front-of-house teams can fix root causes, not just symptoms.
템플릿 보기