Developer Documentation Experience Assessment
Measures documentation usability, findability, content clarity, and code accuracy based on a developer's recent session. Designed for DX and documentation teams seeking actionable feedback to prioritize improvements.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Which product, API, or tool were you reading about?
How did you navigate to the relevant documentation? Select all that apply.
- Site search on the docs
- External search engine (e.g., Google)
- Sidebar or table of contents
- On-page find (Ctrl/Cmd+F)
- Direct link or bookmark
- Link from another docs page
- Tutorial or example page
- Other (please specify)
Which best describes the code examples on the page(s) you visited?
- Runnable examples embedded in the page
- Copy-paste examples only
- No examples on the page(s)
- Not sure / don't recall
Did you run any sample code or follow step-by-step instructions during this session?
- Yes, I ran sample code
- Yes, I followed step-by-step instructions (no code)
- No, I only read the documentation
Rank the following aspects of your session from most frustrating (top) to least frustrating (bottom).
- Finding the right page or topic
- Dense or unclear writing
- Insufficient or missing examples
- Inaccurate or outdated code
- Missing troubleshooting guidance
Which best describes your current role?
- Software engineer
- Data scientist / ML engineer
- Student
- Product manager
- Technical writer
- Researcher
- Other
Thank you for completing this survey! Your feedback will directly inform improvements to our documentation. Your responses are confidential and will be reported only in aggregate.
What was your main goal during that session?
- Set up or install
- Understand a concept
- Reference API syntax or parameters
- Troubleshoot an error
- Evaluate options or compare approaches
- Check constraints, limits, or pricing
- Other
Approximately how long did it take to find the right page or topic?
- I went directly to it (0 minutes)
- Less than 2 minutes
- 2–5 minutes
- 6–10 minutes
- 11–20 minutes
- More than 20 minutes
The examples were relevant to my use case.
Of the sample code you ran, approximately what proportion worked without modification?
- All of it worked as-is
- Most of it (roughly 75%+)
- About half
- Less than half
- None of it worked as-is
How likely are you to recommend this documentation to a colleague?
How many years of professional development experience do you have?
- 0–1 years
- 2–4 years
- 5–9 years
- 10+ years
Before this session, how familiar were you with this product or tool?
How easy or difficult was it to find the information you needed?
The examples were complete enough to follow without external resources.
Which issues, if any, did you encounter when trying code or following steps? Select all that apply.
- Version mismatch with my environment
- Missing imports or dependencies
- Deprecated API or outdated instructions
- Wrong language variant shown
- Environment or setup steps missing
- Typos or syntax errors
- Permissions or quotas blocked progress
- Unclear or hidden prerequisites
- No issues encountered
If you'd like, please share a link to or name of a specific documentation page relevant to your feedback.
Which programming language(s) did you primarily use in that session? Select up to two.
- Python
- JavaScript / TypeScript
- Java
- C# / .NET
- Go
- Ruby
- C / C++
- Other
The site navigation and structure clearly reflected my task or goal.
Overall, how clear was the writing on the page(s) you used?
Thinking about your overall experience in that session, what is the single most important change that would improve this documentation? Please share any additional thoughts or context.
Where are you primarily located?
- North America
- Latin America
- Europe
- Middle East
- Africa
- East Asia
- South Asia
- Southeast Asia
- Oceania
- Prefer not to say
Search results (if used) were relevant and helpful.
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 question that adaptively probes the single most impactful issue from the developer's actual session, not just a static rating
- Captures granular code-quality signals (relevance, completeness, proportion of samples that ran without modification, specific issue types encountered) rather than a single satisfaction score
- Combines behavioral context (navigation path, time-to-find, goal, role, experience level, language) with experience ratings so DX teams can segment findings by developer profile
- Ends with a ranking question forcing respondents to prioritize which aspect of the experience was most frustrating, giving documentation teams a clear action order
Jotform
Documentation Audit Form TemplateA static, fielding-ready form template aimed at auditing documentation quality, which overlaps meaningfully with this use case. It relies on fixed questions with no adaptive follow-up, so all nuance has to be anticipated in advance by the form author. Jotform's strength is fast setup and broad customization of form fields and design.
잘하는 점
- Quick to deploy with Jotform's drag-and-drop form builder
- Likely supports conditional logic and integrations typical of Jotform's platform
- Familiar, easy-to-share form format for stakeholders
아쉬운 점
- No adaptive AI interviewing to probe deeper into a specific frustration a respondent mentions
- No automated per-response quality scoring of open-ended feedback
- No published methodology on how questions were derived or scored
QuestionPro
Technical Documentation Survey TemplateA directly comparable survey template for evaluating technical documentation, built on QuestionPro's established survey platform. It appears to be a standard fixed-question instrument focused on structured ratings rather than open dynamic follow-up. QuestionPro brings solid reporting and distribution tooling common to enterprise survey suites.
잘하는 점
- Backed by QuestionPro's mature survey distribution and analytics tooling
- Likely offers customizable question types and branching logic
- Established templates library suggests reasonable content coverage of documentation topics
아쉬운 점
- No adaptive AI or voice-based follow-up interviews to explore an individual respondent's specific pain point
- No guided screen-share task capability to observe real navigation behavior
- No transparent, published prompt methodology behind the questions
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.