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Salon Visit Satisfaction & Loyalty Survey

Measures how satisfied clients are with a recent salon visit — stylist skill, cleanliness, wait time, value, and ambiance — plus loyalty signals like rebooking intent and recommendation likelihood. An AI follow-up interview reconstructs the specific moment behind a client's rating, giving salon owners concrete, actionable fixes instead of vague scores.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 12개 · 약 7분
Q01
메시지

Thanks for visiting us! We'd love your honest feedback on today's appointment — it takes about 7 minutes and helps us keep getting better. Your responses are completely confidential and anonymized.

Q02
객관식필수

Which service(s) did you receive during this visit?

  • Haircut
  • Hair color or highlights
  • Manicure/pedicure
  • Facial or skincare treatment
  • Massage
  • Waxing/hair removal
  • Makeup application
  • Other
Q03
의견 척도필수

Overall, how satisfied were you with today's visit?

척도: 1 – 5
최소:Very dissatisfied최대:Very satisfied
Q04
평점 척도필수

How would you rate the skill and expertise of your stylist or technician?

범위: 1 – 5
최소:Poor최대:Excellent
Q05
매트릭스필수

Please rate the following aspects of your visit.

5개 행 × 5개 열
  • Cleanliness of the salon
  • Wait time before your appointment started
  • Friendliness of front-desk/reception staff
  • Value for the price you paid
  • Overall ambiance and comfort
열: Poor · Fair · Good · Very good · Excellent
Q06
의견 척도필수

How likely are you to recommend this salon to a friend or colleague?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q07
객관식

How likely are you to book your next appointment with the same stylist or technician?

  • Definitely will
  • Probably will
  • Not sure
  • Probably won't
  • Definitely won't
  • I don't have a preferred stylist/technician
Q08
AI 인터뷰

Reconstruct the specific moment or detail that most shaped this respondent's satisfaction and recommendation score — was it the stylist's technique, the wait, the price, or something else? If the score was low, probe exactly what went wrong and what would have fixed it in the moment. If it was high, probe what specifically stood out so it can be repeated for other clients. If they said they're unlikely to rebook with the same stylist, ask why and what they'd want instead.

Q09
객관식

How did you book this appointment?

  • Walk-in
  • Phone call
  • Salon's website or app
  • Third-party booking app (Template note: replace with your actual app, e.g. Booksy or Vagaro)
  • Text message
  • Social media
  • Other
Q10
객관식

What's your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q11
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q12
메시지

That's everything — thank you for sharing your experience! Your feedback goes straight to the salon team to help improve service and training.

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

  • Includes a matrix rating aspects like cleanliness, wait time, value, and ambiance alongside stylist skill, so owners see the full picture, not just one score
  • Pairs standard opinion-scale satisfaction and recommendation questions with an AI follow-up interview that reconstructs the specific moment behind a client's rating, turning vague scores into concrete, actionable detail
  • Captures loyalty signals directly - rebooking intent with the same stylist and recommendation likelihood - rather than inferring loyalty from satisfaction alone
  • Closes with light-touch demographic and booking-channel questions so owners can segment feedback without bloating the core experience questions

SurveySparrow

Salon Evaluation Survey Template

A fielding-ready static template covering typical salon evaluation questions like service quality and satisfaction. It's built on SurveySparrow's conversational survey format, which reads more naturally than a plain form but still relies on fixed, pre-written questions. No mechanism is described for probing deeper into any individual response.

잘하는 점

  • Conversational, chat-style question flow rather than a bare form
  • Purpose-built specifically for salon/spa evaluation use cases
  • Likely quick to deploy given SurveySparrow's template library approach

아쉬운 점

  • Static question set with no adaptive follow-up to explore why a client gave a particular rating
  • No mention of AI-driven interviews, voice input, or automated per-response quality scoring
  • No transparent prompt/methodology documentation for how questions or scoring logic were derived

Typeform

Salon Evaluation Survey Template

A standard Typeform template for collecting salon feedback, using Typeform's signature one-question-at-a-time interface for a clean respondent experience. It appears to be a fixed-question form rather than an adaptive interview, so it can capture ratings but not the reasoning behind them. Typeform's Logic Jumps allow branching, but that's rule-based routing, not an AI reconstruction of a specific moment.

잘하는 점

  • Polished, distraction-free one-question-per-screen interface
  • Conditional logic jumps for basic branching between questions
  • Established template with broad familiarity among survey respondents

아쉬운 점

  • No adaptive AI follow-up interview to reconstruct the specific moment behind a rating
  • No automated per-response quality scoring or AI-generated report of actionable fixes
  • No voice AI interview or guided screen-share task option

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