모든 템플릿

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.

질문 26개 · 약 11분
Q01
메시지

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 12 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.

Q02
드롭다운

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
Q03
객관식

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
Q04
순위 매기기

Rank the following activities from most to least time spent during a typical work week.

  1. Writing new code
  2. Reviewing or debugging code
  3. Meetings and communication
  4. Planning, design, or documentation
  5. Testing and QA
  6. DevOps, deployment, or infrastructure
  7. Learning or upskilling
드래그하여 순위 지정
Q05
의견 척도

How confident are you that the code your team shipped in the last 4 weeks meets your quality standards?

척도: 17
최소:Not at all confident최대:Extremely confident
Q06
드롭다운

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
Q07
장문형

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.

Q08
드롭다운

How many years have you worked as a developer (professional or equivalent)?

  • Less than 1
  • 1–2
  • 3–5
  • 6–9
  • 10–14
  • 15+
Q09
메시지

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.

Q10
객관식

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
Q11
메시지

Great — thanks for those details. Next, a few quick questions about your team and its engineering practices.

Q12
의견 척도

Compared to a typical two-week period, how would you rate your overall productivity in the last 2 weeks?

척도: 17
최소:Much less productive than usual최대:Much more productive than usual
Q13
의견 척도

In the last 4 weeks, how consistently did your team conduct code reviews before merging?

척도: 15
최소:Never최대:Always
Q14
의견 척도

In the last month, how much do you feel your technical skills have grown?

척도: 15
최소:Not at all최대:A great deal
Q15
AI 인터뷰

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?

Q16
드롭다운

What is your primary work arrangement?

  • Company employee
  • Independent contractor / Freelancer
  • Student
  • Other
Q17
드롭다운

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
Q18
의견 척도

In the last 4 weeks, how consistently did your team write automated tests for new features or changes?

척도: 15
최소:Never최대:Always
Q19
드롭다운

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+
Q20
의견 척도

In the last 4 weeks, how have AI coding tools affected your overall productivity?

척도: 17
최소:Significantly decreased productivity최대:Significantly increased productivity
Q21
의견 척도

In the last 4 weeks, how consistently did your team use CI/CD pipelines for deployments?

척도: 15
최소:Never최대:Always
Q22
드롭다운

About how many developers are on your immediate team?

  • 1
  • 2–4
  • 5–9
  • 10–19
  • 20+
Q23
메시지

Almost done! A final section about where AI tools do and don’t fit your workflow today.

Q24
드롭다운

In which region do you primarily work?

  • Americas
  • Europe
  • Middle East & Africa
  • Asia
  • Oceania
Q25
객관식

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)
Q26
의견 척도

How likely are you to try or re-adopt AI coding tools in the next 3 months?

척도: 17
최소:Extremely unlikely최대:Extremely likely

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.

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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 Online

This 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

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