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.
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
Template Overview
26
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to the Developer Productivity & AI Tooling Adoption Survey.
This survey explores your development workflows, tools (including AI assistants), code quality practices, and professional growth. It takes approximately 6–8 minutes to complete.
Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers—we are interested in your honest experience. All responses are confidential and will be reported only in aggregate.
By continuing, you agree to participate.
Q2
Dropdown
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
Q3
Multiple Choice
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
Q4
Multiple Choice
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
Q5
Chat Message
Q6
Dropdown
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
Q7
Opinion Scale
In the last 4 weeks, how have AI coding tools affected your overall productivity?
Rank the following activities from most to least time spent during a typical work week.
Drag to order (top = most important)
Writing new code
Reviewing or debugging code
Meetings and communication
Planning, design, or documentation
Testing and QA
DevOps, deployment, or infrastructure
Learning or upskilling
Q12
Opinion Scale
Compared to a typical two-week period, how would you rate your overall productivity in the last 2 weeks?
Range: 1 – 7
Min: Much less productive than usualMid: NeutralMax: Much more productive than usual
Q13
Opinion Scale
How confident are you that the code your team shipped in the last 4 weeks meets your quality standards?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q14
Opinion Scale
In the last 4 weeks, how consistently did your team conduct code reviews before merging?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q15
Opinion Scale
In the last 4 weeks, how consistently did your team write automated tests for new features or changes?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q16
Opinion Scale
In the last 4 weeks, how consistently did your team use CI/CD pipelines for deployments?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q17
Dropdown
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
Q18
Opinion Scale
In the last month, how much do you feel your technical skills have grown?
Range: 1 – 5
Min: Not at allMid: NeutralMax: A great deal
Q19
Long Text
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.
Max chars
Q20
AI Interview
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?
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 6
Q21
Dropdown
How many years have you worked as a developer (professional or equivalent)?
Less than 1
1–2
3–5
6–9
10–14
15+
Q22
Dropdown
What is your primary work arrangement?
Company employee
Independent contractor / Freelancer
Student
Other
Q23
Dropdown
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+
Q24
Dropdown
About how many developers are on your immediate team?
1
2–4
5–9
10–19
20+
Q25
Dropdown
In which region do you primarily work?
Americas
Europe
Middle East & Africa
Asia
Oceania
Q26
Chat Message
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.
Frequently Asked Questions
What is QuestionPunk?
QuestionPunk is an AI-powered survey and research platform that turns traditional surveys into adaptive conversations. Describe your research goal and get a complete survey draft, conduct AI-moderated interviews with dynamic follow-ups, detect low-quality responses, and produce insights automatically. It's fast, flexible, and scalable across qualitative and quantitative research.
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How do AI interviews work?
AI interviews conduct adaptive conversations with respondents. The AI asks follow-up questions based on what the respondent says, probing for clarity and depth. You control the personality, tone, model (Haiku, Sonnet, or Opus), and question mode (fixed count, AI decides when to stop, or time-based).
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