Quarterly Gig Worker Experience Check-In
A recurring quarterly pulse for gig and contract workers that tracks earnings satisfaction, scheduling flexibility, platform support, and intent to keep working with you next quarter. An AI follow-up interview digs into the real story behind their retention score instead of settling for the number alone.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which type of gig work did you do most this quarter? (Template note: replace with your own platform's gig categories, e.g. rideshare driving, food/grocery delivery, freelance task completion, home services.)
- (Replace with category A)
- (Replace with category B)
- (Replace with category C)
- (Replace with category D)
In a typical week this past quarter, about how many hours did you spend on this gig work?
How satisfied are you with what you earned from this gig work this quarter?
How satisfied are you with how flexible your schedule was this quarter?
Thinking about this past quarter, how much do you agree with each statement?
- Earnings were paid out on time and as expected
- Support responded quickly when I had an issue
- I felt physically safe while doing this work
- Changes to pay or policy were communicated clearly
Compared to last quarter, your earnings from this gig work...
- Increased
- Stayed about the same
- Decreased
- I'm not sure / this is my first quarter
How likely are you to keep doing this gig work with us next quarter?
Explore the reasoning behind the respondent's likelihood-to-continue rating for next quarter. If they rated it low (0-5), probe what specific event or change this quarter made them consider stopping, and whether it's something fixable. If they rated it high (8-10), find out what's working best and whether anything could still push them away. Also ask them to expand on whichever platform-experience statement they rated lowest in the earlier agreement battery, requesting a concrete recent example.
Rank these in order of what would most improve your experience next quarter, starting with the most impactful.
- Higher pay per gig
- More predictable or flexible scheduling
- Faster support response
- Better safety measures
- Clearer communication about policy changes
How long have you been doing gig work with us?
- Less than 3 months
- 3-12 months
- 1-3 years
- More than 3 years
- Prefer not to say
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
That's everything — thank you for the honest check-in! Your responses feed directly into a quarterly report we use to improve pay, scheduling, and support for gig workers like you.
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
- Includes a dedicated AI follow-up interview that explores the real reasoning behind each respondent's likelihood-to-continue rating, rather than stopping at the numeric score
- Combines opinion-scale and matrix questions on earnings and scheduling satisfaction with a ranking question so respondents prioritize what would most improve next quarter
- Captures tenure, work type, and demographic context (age, gender, how long they've worked with you) so retention trends can be segmented meaningfully
- Built specifically for recurring quarterly use with gig and contract workers, closing with a transparent thank-you message and automatic reporting rather than a one-off generic form
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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