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.
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。
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
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
- 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.
優れている点
- 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
物足りない点
- 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
よくあるご質問
「Documentation Experience & Findability Assessment」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23問含まれており、最初の設問は次のとおりです:「Welcome to our Documentation Feedback Survey. We're conducting this survey to understand how well our documentation sup…」・「How often did you consult our documentation in the past 30 days?」・「Overall, how complete is the documentation for the features you use?」。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、23問を約10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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