Developer Productivity & AI Tooling Adoption Survey
Measures developer productivity, AI coding tool adoption and barriers, code quality practices, and professional growth for engineering teams. Designed for 6–8 minute completion with branching logic for AI tool users vs. non-users.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which of the following best describes your primary development role?
- Backend engineer
- Frontend engineer
- Full-stack engineer
- Mobile developer
- Data/ML engineer
- DevOps/SRE
- QA/Test engineer
- Engineering manager
- Student or hobbyist
- Other
Which of the following best describes your current use of AI coding assistants or code-generation tools (e.g., GitHub Copilot, ChatGPT, Cursor)?
- Yes, I currently use them
- I tried them in the past but am not using them now
- No, but I plan to try them
- No, and I have no plans to try them
Rank the following activities from most to least time spent during a typical work week.
- Writing new code
- Reviewing or debugging code
- Meetings and communication
- Planning, design, or documentation
- Testing and QA
- DevOps, deployment, or infrastructure
- Learning or upskilling
How confident are you that the code your team shipped in the last 4 weeks meets your quality standards?
Approximately how many hours did you spend on learning or upskilling activities in the last 2 weeks?
- 0 hours
- 1–2 hours
- 3–5 hours
- 6–10 hours
- 11–15 hours
- More than 15 hours
Based on your responses in this survey, please share one example from the last month where a tool, practice, or workflow change meaningfully affected how you work.
How many years have you worked as a developer (professional or equivalent)?
- Less than 1
- 1–2
- 3–5
- 6–9
- 10–14
- 15+
Thank you for completing this survey! Your responses have been recorded and will be used to improve developer workflows and tooling decisions. If you have any questions, please contact your survey administrator.
Which programming languages do you use most frequently in your current work? (Select up to 3)
- JavaScript/TypeScript
- Python
- Java
- C#
- C/C++
- Go
- Ruby
- PHP
- Swift
- Kotlin
- Rust
- SQL
- Other
Great — thanks for those details. Next, a few quick questions about your team and its engineering practices.
Compared to a typical two-week period, how would you rate your overall productivity in the last 2 weeks?
In the last 4 weeks, how consistently did your team conduct code reviews before merging?
In the last month, how much do you feel your technical skills have grown?
Thank you for your responses so far. I'd like to ask a couple of follow-up questions to better understand your experience with developer tools and productivity. Let's start: What has been the single biggest factor—positive or negative—affecting your productivity in the last month?
What is your primary work arrangement?
- Company employee
- Independent contractor / Freelancer
- Student
- Other
How frequently have you used AI coding tools over the past 4 weeks?
- Daily
- Several times a week
- About once a week
- Less than once a week
In the last 4 weeks, how consistently did your team write automated tests for new features or changes?
About how many people are in your organization?
- 1 (just me)
- 2–9
- 10–49
- 50–249
- 250–999
- 1,000–4,999
- 5,000+
In the last 4 weeks, how have AI coding tools affected your overall productivity?
In the last 4 weeks, how consistently did your team use CI/CD pipelines for deployments?
About how many developers are on your immediate team?
- 1
- 2–4
- 5–9
- 10–19
- 20+
Almost done! A final section about where AI tools do and don’t fit your workflow today.
In which region do you primarily work?
- Americas
- Europe
- Middle East & Africa
- Asia
- Oceania
What are the main reasons you are not currently using AI coding tools? (Select up to 3)
- Concerns about code quality or correctness
- Privacy, security, or compliance concerns
- Not needed for my type of work
- Too costly or licensing issues
- Tried but results were not useful
- Setup or integration effort is too high
- Team or organizational policy restricts use
- Other (please specify)
How likely are you to try or re-adopt AI coding tools in the next 3 months?
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 an AI follow-up interview that asks adaptive questions based on the respondent's own prior answers, not just a static question bank
- Uses branching logic to route AI coding tool users vs. non-users into different question paths (frequency/impact vs. barriers/reasons for non-use)
- Combines quantitative opinion-scale tracking of productivity, code review, testing, and CI/CD consistency with an open-text reflection question for qualitative depth
- Captures both team/org context (team size, org size, role, tenure) and individual skill-growth and upskilling-hours data in one 6-8 minute flow
SurveySparrow
Employee Productivity Questionnaire Template OnlineThis is a general employee productivity questionnaire template, not specific to developers, AI coding tools, or code quality practices. It's a fielding-ready static template that a team could adapt, but it lacks the developer-specific branching and AI-tooling focus of our template. Useful as a generic productivity-measurement starting point rather than a purpose-built engineering survey.
What it does well
- Ready-to-use template requiring no build-from-scratch setup
- Backed by SurveySparrow's broader survey distribution and analytics tooling
- Applicable across various roles, not locked to a single job function
Where it falls short
- No apparent branching logic to separate AI tool users from non-users or developers from other employees
- Static question set with no adaptive AI follow-up interview to probe individual responses further
- No visible mechanism for automated per-response quality scoring or transparent prompt methodology
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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