Measure customer trust in virtual vs in-person waitlists for restaurants. Capture fairness, transparency, and wait time satisfaction insights. Start now.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Sample Survey Items
Q1
Dropdown
When was your most recent hospitality waitlist experience?
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
Don't remember being on a waitlist
Q2
Multiple Choice
What type of place was it?
Casual dining restaurant
Fine dining restaurant
Café or bakery
Bar or lounge
Hotel check-in or service counter
Attraction/tour/activity
Q3
Multiple Choice
Which best describes the waitlist or lack thereof?
Virtual (app, website, or text message)
In person (name given at host stand/paper list)
There wasn't a waitlist
Q4
Numeric
Including yourself, how many people were in your party?
Accepts a numeric value
Whole numbers only
Q5
Numeric
What initial wait time were you quoted? (minutes; enter 0 if none was given)
Accepts a numeric value
Whole numbers only
Q6
Numeric
About how long did you actually wait? (minutes)
Accepts a numeric value
Whole numbers only
Q7
Rating
How accurate was the quoted wait time compared with your actual wait?
Scale: 11 (star)
Min: Very inaccurateMax: Very accurate
Q8
Multiple Choice
Which updates did you receive while waiting? Select all that apply.
Position in line
Updated time estimates
Reason for delays
Ready/approaching notification
No updates received
Q9
Opinion Scale
Overall, how fair did the waitlist feel?
Range: 1 – 10
Min: Very unfairMid: NeutralMax: Very fair
Q10
Multiple Choice
Did you notice others being seated ahead of your party?
Yes, more than once
Yes, once
No
Not sure
Q11
Multiple Choice
If that occurred, what do you think best explains it? Select all that apply.
Reservations prioritized
VIP/loyalty status prioritized
Larger parties prioritized
Staff knew the guests
Accessibility needs accommodated
Table configuration constraints
Possible bias or discrimination
Not sure
Not applicable / Did not observe
Q12
Matrix
Please rate your agreement with the following about that waitlist.
Rows
Strongly disagree
Disagree
Neither agree nor disagree
Agree
Strongly agree
I understood how the waitlist worked
•
•
•
•
•
The rules for priority were clear
•
•
•
•
•
Updates arrived in a timely manner
•
•
•
•
•
I trusted the queue order
•
•
•
•
•
I knew how to ask a question or raise an issue
•
•
•
•
•
Q13
Multiple Choice
Attention check: To confirm you are paying attention, please select "I agree."
I disagree
I agree
I strongly agree
Q14
Opinion Scale
How likely are you to join this venue’s waitlist again?
Range: 1 – 10
Min: Not at all likelyMid: NeutralMax: Extremely likely
Q15
Long Text
What is one change that would make waitlists feel more transparent or fair?
Max 600 chars
Q16
Long Text
Any other comments about waitlists or this survey?
Max 600 chars
Q17
AI Interview
AI Interview: 2 Follow-up Questions on your waitlist experience
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 15
Q18
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
Q19
Multiple Choice
Which of the following best describes your gender?
Woman
Man
Non-binary/gender diverse
Prefer not to say
Q20
Short Text
Country/region where you currently live:
Max 100 chars
Q21
Dropdown
What is the highest level of education you have completed?
Some high school or less
High school diploma or equivalent
Some college/associate degree
Bachelor’s degree
Postgraduate or professional degree
Prefer not to say
Q22
Multiple Choice
What is your current employment status?
Employed full-time
Employed part-time
Self-employed
Student
Homemaker/caregiver
Unemployed and looking
Unemployed and not looking
Retired
Prefer not to say
Q23
Chat Message
Thank you for your time—your feedback helps venues improve waitlist fairness and transparency.
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