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.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
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?
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- 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.
優れている点
- 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
物足りない点
- 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
よくあるご質問
「Developer Productivity & AI Tooling Adoption Survey」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が26問含まれており、最初の設問は次のとおりです:「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…」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、26問を約11分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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