모든 템플릿

Salon Appointment Booking Experience Survey

Measures how easy it actually was for clients to find, book, and confirm a salon appointment — from channel choice to check-in — and where friction causes no-shows or lost rebookings. The AI follow-up interview reconstructs the real booking journey behind low ease or rebooking scores, not just the rating itself.

샘플 질문

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

질문 14개 · 약 7분
Q01
메시지

Thanks for sharing your recent salon experience! We'd love to understand what booking your appointment was really like. Your responses are completely confidential and anonymized. This should take about 8 minutes.

Q02
객관식필수

Which method did you use to book your most recent appointment?

  • Online booking website
  • Mobile app
  • Phone call
  • Walk-in
  • Social media direct message
  • Through a friend or referral link
  • Other
Q03
의견 척도필수

How easy was it to book that appointment?

척도: 17
최소:Very difficult최대:Very easy
Q04
객관식

Did any of these cause friction or delay when booking? Select all that apply.

  • Limited available time slots
  • Website or app was confusing
  • Had to call during business hours
  • No confirmation received
  • Price wasn't clear upfront
  • Couldn't find my preferred stylist's availability
Q05
매트릭스필수

Rate the following parts of your booking and appointment experience.

5개 행 × 5개 열
  • Ease of finding an available appointment time
  • Clarity of pricing before booking
  • Communication and reminders before the appointment
  • Ease of rescheduling or canceling
  • Match between the stylist you requested and who you saw
: Very poor · Poor · Fair · Good · Excellent
Q06
평점 척도

How would you rate the check-in experience when you arrived for your appointment?

범위: 15
최소:Poor최대:Excellent
Q07
객관식

How far in advance did you book this appointment?

  • Same day
  • 1-3 days ahead
  • 4-7 days ahead
  • 1-2 weeks ahead
  • More than 2 weeks ahead
Q08
순위 매기기

Rank these potential booking improvements by how much they'd improve your experience, from most to least impactful.

  1. Real-time availability calendar
  2. Text message confirmations and reminders
  3. Ability to request a specific stylist
  4. Visible pricing before booking
  5. Waitlist for last-minute cancellations
  6. One-click rebooking for repeat appointments
드래그하여 순위 지정
Q09
의견 척도필수

How likely are you to book with this salon again?

척도: 010
최소:Not at all likely최대:Extremely likely
Q10
AI 인터뷰

Reconstruct the respondent's actual booking journey for their most recent appointment: which channel they used, where they got stuck or hesitated, and how that connects to their rebooking likelihood score. If they flagged friction (unclear pricing, limited slots, no confirmation), probe exactly what happened and what would have fixed it in the moment. If their rebooking likelihood was low, find out whether it was about the booking process itself or the in-salon experience.

Q11
객관식

In the last 6 months, how often have you visited a hair or beauty salon?

  • Weekly
  • Every 2-3 weeks
  • Monthly
  • Every 2-3 months
  • Less often than that
Q12
객관식

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
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
메시지

That's everything — thank you for the detailed feedback! Your responses will help the salon smooth out the booking process and make it easier to get the appointment you want.

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

  • Combines structured questions (booking method, ease rating, friction checklist, matrix, ranking, rebooking likelihood) with an AI follow-up interview that reconstructs the actual booking journey behind low scores, not just the number.
  • Captures the full funnel — channel choice, lead time, check-in experience, and friction points — so you can pinpoint exactly where no-shows or lost rebookings originate.
  • Screens by visit frequency and demographics, letting you segment friction patterns by how often someone books and who they are.
  • Closes with a clear thank-you message and auto-generated report, so insights are ready to act on without manual analysis.

SurveySparrow

Revolutionize Salon Management with Our Salon Booking Form Template

This is a booking/scheduling form template (collecting service, stylist, and time preferences), not a post-appointment experience survey — so it's built for a different job than diagnosing booking friction. It's fielding-ready for capturing appointment requests, but it doesn't probe why booking was hard or why clients don't rebook. Useful for salons wanting intake forms rather than experience research.

잘하는 점

  • Purpose-built for collecting appointment/service requests directly from clients
  • Likely supports conversational, mobile-friendly form logic typical of SurveySparrow forms
  • Simple to deploy for salons that just need a booking intake mechanism

아쉬운 점

  • Designed as a booking form, not an experience/satisfaction survey — no ease, friction, or rebooking-likelihood measurement
  • No adaptive AI follow-up to reconstruct what actually happened during booking
  • No automated quality scoring or auto-generated insight report on friction causes

Typeform

Salon Booking Form Template

Another booking-intake form rather than a post-visit experience survey — it collects appointment details, not feedback about how the booking process felt. Typeform's conversational one-question-at-a-time format is pleasant to fill out, but it's a static form with no branching based on reported friction. Good for taking bookings, not for diagnosing booking-journey breakdowns.

잘하는 점

  • Clean, conversational one-question-at-a-time interface
  • Easy to customize branding and question wording for a salon's booking flow
  • Mobile-friendly, low-friction for clients submitting a booking request

아쉬운 점

  • Static question set with no adaptive follow-up to explore why a client found booking hard
  • No mechanism to reconstruct the booking journey or quantify friction causes
  • No automated per-response quality scoring or generated report on rebooking risk

Jotform

Salon Appointment Form Template

A standard appointment-request form (name, service, preferred time) rather than an experience-measurement survey — it's fielding-ready for taking bookings but not for evaluating how well the booking process worked. Jotform's drag-and-drop builder makes it easy to customize fields, but the template itself doesn't ask about ease, friction, or rebooking likelihood.

잘하는 점

  • Widely used drag-and-drop form builder, easy to customize fields and layout
  • Supports common integrations (calendars, payments) typical of Jotform forms
  • Simple for salons to embed on a website for direct appointment requests

아쉬운 점

  • No experience/ease questions, friction diagnostics, or rebooking-likelihood measurement
  • No adaptive AI interview to surface the real story behind a bad booking experience
  • No automated scoring or synthesized report — data would need manual analysis

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