Q01
Message
All templatesCustomer Experience
Waitlist Fairness & Transparency Experience Survey
Measures customer perceptions of fairness, transparency, and wait-time accuracy across virtual and in-person restaurant and hospitality waitlists. Ideal for hospitality operators and CX researchers seeking actionable insights on queue management.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
25 questions · ~11 min
Q02
Dropdown
When was your most recent experience being on a waitlist at a restaurant, bar, café, or similar venue?
- Within the past 7 days
- Within the past 30 days
- Within the past 3 months
- Within the past 6 months
- More than 6 months ago
- I have never been on a waitlist
Q03
Dropdown
What initial wait time were you quoted?
- No estimate was given
- Less than 10 minutes
- 10–20 minutes
- 21–30 minutes
- 31–45 minutes
- 46–60 minutes
- More than 60 minutes
Q04
Opinion Scale
Overall, how fair did the waitlist process feel?
Scale: 1 – 7
Min:Very unfairMax:Very fair
Q05
Opinion Scale
How likely are you to join this venue's waitlist again in the future?
Scale: 1 – 7
Min:Not at all likelyMax:Extremely likely
Q06
Dropdown
How often do you typically dine out or visit hospitality venues?
- Multiple times a week
- About once a week
- A few times a month
- About once a month
- Less than once a month
- Rarely or never
Q07
Message
Thank you for completing this survey. Your responses are confidential and will be used in aggregate to help venues improve their waitlist processes. We appreciate your time and honest feedback.
Q08
Multiple Choice
What type of venue was it?
- Casual dining restaurant
- Fine dining restaurant
- Café or bakery
- Bar or lounge
- Hotel check-in or service counter
- Attraction, tour, or activity venue
- Other (please specify)
Q09
Dropdown
Approximately how long did you actually wait?
- Less than 10 minutes
- 10–20 minutes
- 21–30 minutes
- 31–45 minutes
- 46–60 minutes
- More than 60 minutes
Q10
Opinion Scale
The waitlist process was easy to understand.
Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q11
Opinion Scale
How satisfied were you with your overall waitlist experience?
Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q12
Dropdown
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Q13
Multiple Choice
How were you added to the waitlist?
- Virtual waitlist (app, website, or text message)
- In person (name given at host stand or paper list)
- Both (signed up virtually and confirmed in person)
Q14
Opinion Scale
How did your actual wait compare to the time you were originally quoted?
Scale: 1 – 7
Min:Much shorter than quotedMax:Much longer than quoted
Q15
Opinion Scale
I trusted that the waitlist order was managed fairly.
Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q16
Long Text
If you could change one thing to make waitlists feel more transparent or fair, what would it be?
Q17
Multiple Choice
Which of the following best describes your gender?
- Woman
- Man
- Non-binary / gender diverse
- Prefer not to say
Q18
Dropdown
Including yourself, how many people were in your party?
- 1 (just me)
- 2
- 3
- 4
- 5
- 6
- 7
- 8 or more
Q19
Multiple Choice
Which updates, if any, did you receive while waiting? Select all that apply.
- Position in line
- Updated time estimates
- Reason for delays
- Ready or approaching notification
- No updates received
Q20
Opinion Scale
Staff communicated clearly about wait times and next steps.
Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q21
AI Interview
Based on your survey responses, we'd like to explore your waitlist experience a bit further. Please share any additional thoughts about what made the experience positive or negative, and our moderator may ask a brief follow-up.
Q22
Dropdown
In which country or region do you currently live?
- United States
- Canada
- United Kingdom
- Australia
- Germany
- France
- Spain
- Italy
- Netherlands
- Brazil
- Mexico
- India
- Japan
- South Korea
- Other (please specify)
Q23
Opinion Scale
I felt respected and valued while waiting.
Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q24
Multiple Choice
Did you notice other parties being seated before yours?
- Yes, more than once
- Yes, once
- No
- Not sure
Q25
Multiple Choice
What do you think best explains why others were seated first? Select all that apply.
- Reservations were prioritized
- VIP or loyalty status was prioritized
- Larger or smaller party sizes were accommodated
- Staff appeared to know the guests personally
- Accessibility needs were accommodated
- Table configuration or availability constraints
- Possible bias or discrimination
- Not sure
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
- Purpose-built around the waitlist moment itself, with dedicated questions on quoted vs. actual wait time, mid-wait updates received, and perceived order-fairness — not just generic satisfaction
- Includes an AI follow-up interview that adaptively probes deeper into each respondent's specific waitlist experience after the structured questions
- Combines quantitative opinion-scale ratings (fairness, trust, clarity, respect) with an open-text question and AI-driven qualitative follow-up for richer, triangulated insight
- Captures behavioral fairness signals directly — e.g., whether respondents observed other parties seated first and their theories why — which generic CX templates don't ask
Jotform
200+ Hospitality FormsThis is a category/library page listing many hospitality form templates rather than a single fielding-ready waitlist fairness survey. It's useful for browsing generic hospitality forms (reservations, feedback, bookings) but doesn't offer a purpose-built waitlist transparency instrument. Customization would be needed to approximate this survey's specific focus.
What it does well
- Large template library covering many hospitality use cases
- Familiar drag-and-drop form builder likely used for quick deployment
- Broad flexibility to adapt generic forms to different venue types
Where it falls short
- No adaptive AI follow-up interviewing — static form fields only
- No evidence of automated per-response quality scoring or auto-generated analytical reports
- Not a purpose-built waitlist fairness/transparency instrument, just a general form category
SurveyMonkey
Customer Experience Survey Template & QuestionsA general-purpose customer experience template applicable across industries, not specific to restaurant/hospitality waitlists. It can be adapted with custom questions but lacks built-in items on quoted vs. actual wait time or perceived seating-order fairness. Good for broad CX benchmarking rather than queue-specific research.
What it does well
- Well-established survey platform with broad question library
- Standardized CX benchmarking questions usable across industries
- Easy to distribute and analyze at scale
Where it falls short
- No adaptive AI interviewing to probe individual open-ended answers
- Not tailored to waitlist-specific fairness/transparency metrics out of the box
- No transparent prompt methodology or automated qualitative scoring evident
SurveySparrow
Customer Experience Survey TemplateAnother generic CX template aimed at marketing/CX teams broadly, not focused on hospitality waitlists specifically. Its conversational survey format is a plus for engagement, but it doesn't include structured fairness/wait-time-accuracy questions relevant to queue management. Would require significant customization for this use case.
What it does well
- Conversational, chat-style survey format that may improve completion rates
- General CX template adaptable to many industries
- Simple setup for quick deployment
Where it falls short
- No adaptive AI-led follow-up interviews beyond scripted conversational flow
- No waitlist-specific fairness or wait-time-accuracy question set
- No published methodology for how responses are scored or synthesized into reports
Typeform
Restaurant Customer Satisfaction Survey TemplateThis is restaurant-specific, which is closer to the target use case, but it centers on general dining satisfaction rather than waitlist fairness, transparency, or wait-time accuracy specifically. It likely covers food, service, and ambiance rather than queue management perceptions. Good starting point but not a direct substitute for a waitlist-focused instrument.
What it does well
- Restaurant-specific framing, more relevant audience fit than generic CX templates
- Typeform's engaging, one-question-at-a-time UI likely improves completion
- Easy to customize question wording within their builder
Where it falls short
- No adaptive AI follow-up interview or voice AI interview option
- Lacks dedicated waitlist fairness/transparency question set (quoted vs. actual wait, seating-order perception)
- No automated per-response quality scoring or auto-generated report evident
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Customer Experience
SMS Customer Support Satisfaction & Channel Preference Survey
Evaluates customer satisfaction, resolution effectiveness, response time perceptions, and channel preferences for two-way SMS support interactions, providing actionable insights to optimize text-based service delivery.
View templateCustomer Experience
Digital Ticket Transfer & Resale Experience Survey
Measures event attendees' perceptions of clarity, fairness, and friction in digital ticket transfer and resale processes to identify platform improvement priorities.
View templateCustomer Experience
Post-Support CSAT & Resolution Quality Survey
Measures customer satisfaction, resolution effectiveness, agent performance, and customer effort after a support interaction to identify actionable service improvements.
View templateCustomer Experience
Streaming Service Discovery & Playback Experience Survey
Measures user satisfaction with content discovery, recommendation relevance, personalization, and playback quality across streaming platforms to identify UX improvement priorities.
View templateCustomer Experience
Retail Returns Experience & Satisfaction Survey
Measures customer satisfaction, perceived fairness, and friction points across the retail return and refund process to inform policy improvements and reduce post-purchase churn.
View templateCustomer Experience
E-Commerce Post-Purchase Experience Survey
Measures customer satisfaction across the full post-purchase journey — checkout, shipping, delivery, and product quality — to identify friction points and drive retention improvements.
View template