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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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?
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- 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.
잘하는 점
- 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
아쉬운 점
- 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
자주 묻는 질문
“Developer Productivity & AI Tooling Adoption Survey” 템플릿에는 어떤 질문이 포함되어 있나요?
바로 사용할 수 있는 질문 26개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Welcome to the Developer Productivity & AI Tooling Adoption Survey. This survey explores your development workflows, too…” · “Which of the following best describes your primary development role?” · “Which of the following best describes your current use of AI coding assistants or code-generation tools (e.g., GitHub Co…”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.
이 설문을 완료하는 데 얼마나 걸리나요?
응답자는 보통 질문 26개를 약 11분 안에 완료합니다.
템플릿을 수정할 수 있나요?
네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.
이 템플릿은 무료인가요?
네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
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