Documentation Experience & Findability Assessment
Evaluates documentation completeness, example quality, and information findability from the user's perspective. Designed for product and developer-experience teams seeking prioritized, actionable improvement signals.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How often did you consult our documentation in the past 30 days?
- Daily or almost daily
- 2–3 times per week
- About once per week
- A few times in the past 30 days
- Once in the past 30 days
- Not in the past 30 days
Overall, how complete is the documentation for the features you use?
In the past 30 days, did you use code examples or sample configurations from the docs?
- Yes
- No
- Not applicable — my use doesn't involve code or configuration
How easy is it to find the documentation you need?
After reading the documentation, how often do you still need to contact support for the same issue?
- Almost always
- Often
- Sometimes
- Rarely
- Never
- I don't contact support
Please rank the following documentation improvements from most to least important.
- Improve search relevance and results
- Add more end-to-end examples
- Clarify step-by-step task guides
- Expand troubleshooting and diagnostics
- Make version differences and changes clearer
- Add more conceptual overviews
We'd like to explore your documentation experience in a bit more depth. An AI interviewer will ask you a couple of follow-up questions.
Which best describes your role?
- Developer / Engineer
- Data Scientist / Analyst
- DevOps / SRE
- Product Manager
- Technical Writer
- Support / Customer Success
- Other
Thank you for your time — your feedback will directly inform documentation improvements. If you have urgent issues, please reach out to our support team.
Which of the following do you use to find documentation? Select all that apply.
- Search box within the docs site
- Left navigation or sidebar
- In-page table of contents
- Tags or categories
- Search engine (e.g., Google)
- Links from the product UI
- In-product help or tooltips
- SDK README or code comments
- Bookmarks or direct links
- Asked a colleague
- Contacted support or account rep
- Community forum or Q&A
- Other
How confident are you that the documentation is up-to-date and accurate?
How accurate and error-free were the code examples or sample configurations you used?
When you search the docs site, how often does the first page of results contain the answer you need?
When you contact support about a documentation issue, what are the main reasons? Select all that apply.
- Steps are unclear or ambiguous
- Missing detail for edge cases
- Content is outdated or has version mismatches
- Cannot locate the right page
- Examples don't run or don't match my stack
- Need confirmation of best practice
- Prefer human confirmation
- Other
If you could add one example or template to the docs, what would it cover?
Based on your responses in this survey, is there anything else you'd like to share about your documentation experience?
How long have you been using our product?
- Less than 1 month
- 1–3 months
- 4–12 months
- 1–2 years
- 3+ years
Which topics, steps, or edge cases feel missing or too shallow? Please include links or feature names if possible.
How relevant were the examples to your specific use case or technology stack?
How many employees work at your company?
- 1–10
- 11–50
- 51–200
- 201–1,000
- 1,001–5,000
- 5,001+
How easy was it to adapt the examples to your own project?
In which region are you primarily located?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East & Africa
- Prefer not to say
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
- Pairs quantitative ratings (completeness, up-to-dateness, findability, search result relevance, example accuracy/relevance/adaptability) with open-ended prompts asking what's missing and what one example respondents would add.
- Includes an adaptive AI follow-up interview that lets respondents elaborate on their real documentation experience instead of being limited to fixed-choice answers.
- Covers the full support-deflection loop — how often docs fail to answer a question, why respondents end up contacting support, and a ranked list of improvement priorities — giving DX teams a prioritized signal, not just satisfaction scores.
- Automated per-response quality scoring and an auto-generated report turn open-text and interview responses into actionable findability and content-gap signals without manual coding.
QuestionPro
Technical Documentation Survey TemplateA ready-to-field static survey template focused specifically on technical documentation quality, making it a direct comparable to this template. It likely covers standard satisfaction and usability questions but relies on fixed question formats. Good for quick deployment on an established survey platform, but not built for deeper qualitative probing.
잘하는 점
- Purpose-built for technical documentation feedback, unlike generic UX or product surveys
- Backed by QuestionPro's mature survey platform with broad question-type and distribution options
- Ready to field immediately as a pre-built template
아쉬운 점
- Static question set with no adaptive AI follow-up to probe vague or incomplete answers
- No voice AI interview or screen-share task option to observe actual doc-searching behavior
- No published automated per-response quality scoring or transparent prompt methodology for how insights are derived
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.