Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Opinion ScaleRequired
How easy was it to book that appointment?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q04
Multiple Choice
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
MatrixRequired
Rate the following parts of your booking and appointment experience.
5 rows × 5 columns
- 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
Columns: Very poor · Poor · Fair · Good · Excellent
Q06
Rating Scale
How would you rate the check-in experience when you arrived for your appointment?
Range: 1 – 5
Min:PoorMax:Excellent
Q07
Multiple Choice
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
Ranking
Rank these potential booking improvements by how much they'd improve your experience, from most to least impactful.
- Real-time availability calendar
- Text message confirmations and reminders
- Ability to request a specific stylist
- Visible pricing before booking
- Waitlist for last-minute cancellations
- One-click rebooking for repeat appointments
Drag to rank
Q09
Opinion ScaleRequired
How likely are you to book with this salon again?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q10
AI Interview
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
Multiple Choice
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
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
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q14
Message
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.
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
- 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 TemplateThis 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.
What it does well
- 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
Where it falls short
- 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 TemplateAnother 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.
What it does well
- 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
Where it falls short
- 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 TemplateA 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.