Q01
Message
All templatesIndustry-Specific
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Opinion ScaleRequired
Overall, how satisfied were you with today's visit?
Scale: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q04
Rating ScaleRequired
How would you rate the skill and expertise of your stylist or technician?
Range: 1 – 5
Min:PoorMax:Excellent
Q05
MatrixRequired
Please rate the following aspects of your visit.
5 rows × 5 columns
- 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
Columns: Poor · Fair · Good · Very good · Excellent
Q06
Opinion ScaleRequired
How likely are you to recommend this salon to a friend or colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q07
Multiple Choice
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 Interview
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
Multiple Choice
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
Multiple Choice
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
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q12
Message
That's everything — thank you for sharing your experience! Your feedback goes straight to the salon team to help improve service and training.
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
- 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 TemplateA 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.
What it does well
- 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
Where it falls short
- 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 TemplateA 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.
What it does well
- Polished, distraction-free one-question-per-screen interface
- Conditional logic jumps for basic branching between questions
- Established template with broad familiarity among survey respondents
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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