Q01
Message
All templates
Tipping Habits and Tip Calculator Usage Survey
Explores how people decide tip amounts, when they lean on a tip calculator versus gut feel, and what drives them to accept, adjust, or skip suggested default percentages. Built for restaurants, delivery platforms, and tip-calculator app teams. An AI follow-up interview reconstructs the reasoning behind one real recent tipping decision.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
In the last 3 months, how often have you used a tip calculator (an app, or the built-in tip feature in a payment/checkout screen) to decide how much to tip?
- Never
- Rarely
- Sometimes
- Often
- Every time
Q03
Opinion ScaleRequired
How confident are you that you tip the 'right' amount when you decide without using any calculator or app?
Scale: 1 – 7
Min:Not confident at allMax:Extremely confident
Q04
Multiple Choice
In which situations do you rely on a tip calculator or app-suggested tip amount?
- Dine-in restaurants
- Food or grocery delivery
- Rideshare or taxi
- Salon or spa services
- Hotel or travel services
- Bars or coffee shops
Q05
MatrixRequired
How much does each factor influence how much you end up tipping?
5 rows × 4 columns
- Speed of service
- Friendliness of staff
- Accuracy of the order or work
- Overall atmosphere or experience
- Cost of the bill itself
Columns: No influence · Slight influence · Moderate influence · Strong influence
Q06
Rating Scale
How would you rate the ease of use of the tip calculators or apps you've used?
Range: 1 – 5
Min:Very difficultMax:Very easy
Q07
Multiple ChoiceRequired
When a tip calculator shows default percentage options (like 15%/18%/20%), what do you usually do?
- Pick one of the suggested defaults as-is
- Round the suggested default up
- Round the suggested default down
- Ignore the defaults and enter a custom amount
- Skip the calculator and tip a flat amount
Q08
Point Allocation
Thinking about how you arrive at a tip amount overall, how would you split 100 points across what actually drives that decision?
- Quality of service received
- Social norm or expectation to tip a certain %
- The default suggested by the app or calculator
- Guilt or social pressure in the moment
- My own budget that day
Allocate 100 points
Q09
Price Sensitivity (Van Westendorp)
Now imagine a premium tip calculator app with extra features like bill splitting and multi-currency support. (Template note: replace with your own product description before launching.)
- At what price would this premium tip calculator app be so cheap you'd question its quality or accuracy?
- At what price would this premium tip calculator app be a bargain — a great deal for the money?
- At what price would this premium tip calculator app start to feel expensive, though you'd still consider it?
- At what price would this premium tip calculator app be so expensive you would not consider buying it?
Q10
AI Interview
Reconstruct the last specific time the respondent tipped using an app or calculator: what default or suggested amount it showed, whether they kept it or changed it, and exactly why. If they said they ignore defaults or skip calculators entirely, probe what would need to change for them to trust one. If they described strong social pressure or guilt, dig into where that pressure came from.
Q11
Message
Just a couple of quick background questions, then you're done.
Q12
Dropdown
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q13
Multiple Choice
Which best describes your household income range?
- Under $30,000
- $30,000-$59,999
- $60,000-$99,999
- $100,000-$149,999
- $150,000+
- Prefer not to say
Q14
Message
All done — thank you! Your answers help us understand real tipping behavior so we can make tip calculators feel fairer and more trustworthy.
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.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Our template centers on an AI follow-up interview that reconstructs the reasoning behind one real recent tipping decision, going beyond static answer choices to probe why a respondent accepted, adjusted, or skipped a suggested default percentage
- It combines a matrix question isolating which factors (service quality, social norms, bill size, etc.) influence tip amount with a constant-sum question forcing respondents to allocate 100 points across their actual decision process, giving quantifiable weightings competitors' calculator forms can't produce
- It includes a Van Westendorp pricing exercise on a hypothetical premium tip-calculator app, letting delivery platforms and app teams gauge willingness to pay for bill-splitting and other premium features
- Automated per-response quality scoring and an auto-generated report mean restaurant, delivery, and tip-app teams get analyzed insights on tipping behavior rather than raw form submissions to sort through manually
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.