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Knowledge Base Content Effectiveness Survey
Measures article findability, clarity, completeness, and task-completion outcomes for knowledge base users. Use to identify content gaps and prioritize help center improvements.
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Knowledge Base Content Effectiveness Survey
Welcome, and thank you for taking a few minutes to share your feedback about our knowledge base. This survey asks about your most recent experience finding and using a knowledge base article. Your responses are confidential, will be reported only in aggregate, and will help us improve the help center. Participation is voluntary—you may stop at any time. There are no right or wrong answers; we simply want your honest opinions. Estimated time: 11 minutes.
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デフォルト テーマ。色とフォントは自由に変更できます。
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。
全21問・約11分
Q01
プルダウン
When did you most recently read an article in our knowledge base?
- Within the last 7 days
- 8–30 days ago
- 31–90 days ago
- More than 90 days ago
- Not sure
Q02
選択式
Which type of article did you read most recently?
- Getting started / Onboarding
- How-to / Step-by-step
- Troubleshooting / Error resolution
- Reference / API or developer docs
- Release notes / What's new
- Account, billing, or licensing
- Other (please specify)
Q03
選択式
How did you find that article?
- Typed a query in our site search
- Browsed categories or menus
- Used Google or another search engine
- In-product link
- Link from a support agent or email
- Link from a community or forum
- Saved bookmark
- Other (please specify)
Q04
選択式
When you use search on our knowledge base, how often does it return a helpful article?
- Always
- Often
- Sometimes
- Rarely
- Never
- I have not used search
Q05
プルダウン
Approximately how long did it take you to find that article?
- Less than 1 minute
- 1–3 minutes
- 4–10 minutes
- 11–20 minutes
- More than 20 minutes
- I don't remember
Q06
オピニオンスケール
How easy was it to identify the right article from the search results or category listing?
スケール: 1 – 7
最小:Very difficult最大:Very easy
メッセージ
The following statements are about the article you read most recently. Please indicate how much you agree or disagree with each one.
Q07
オピニオンスケール
The article was easy to understand.
スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q08
オピニオンスケール
The article covered the topic completely.
スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q09
オピニオンスケール
The information in the article was accurate and up to date.
スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q10
オピニオンスケール
The article was well-organized and easy to scan.
スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q11
オピニオンスケール
The article included helpful examples, screenshots, or visuals.
スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q12
選択式
Did this article enable you to complete your task?
- Yes, completely
- Yes, partially
- No
- I was just browsing
Q13
オピニオンスケール
Overall, how easy was it to use the article to achieve your goal?
スケール: 1 – 7
最小:Very difficult最大:Very easy
Q14
オピニオンスケール
How likely are you to use our knowledge base again in the future?
スケール: 1 – 7
最小:Very unlikely最大:Very likely
Q15
自由回答（長文）
What, if anything, was missing or unclear in the article?
Q16
選択式
Which improvements would most help you find the right articles? Select all that apply.
- Clearer article titles
- Better search relevance
- More tags or filters
- Better categorization
- More cross-links between articles
- Show article dates and last-updated info
- None of the above
Q17
AIインタビュー
Thank you for your survey responses. I'd like to ask a couple of follow-up questions to better understand your knowledge base experience. What was the main reason you visited the knowledge base on your most recent visit, and how well did it meet your expectations?
Q18
自由回答（長文）
Based on your responses in this survey, please share any additional thoughts or feelings about your knowledge base experience.
Q19
プルダウン
Which best describes your role?
- Individual contributor
- Team lead or manager
- Executive or founder
- Consultant or agency
- Educator or trainer
- Student
- Prefer not to say
Q20
プルダウン
Which industry best describes your organization?
- Technology / Software
- Finance / Insurance
- Healthcare / Life sciences
- Education
- Manufacturing
- Retail / eCommerce
- Government / Nonprofit
- Media & Communications
- Other
- Prefer not to say
Q21
プルダウン
How many employees work at your organization?
- 1–9
- 10–49
- 50–249
- 250–999
- 1,000–4,999
- 5,000+
- Prefer not to say
メッセージ
Thank you for your time—your feedback helps us improve the knowledge base for everyone.
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 adapts based on the respondent's specific ratings, letting you dig into why an article was rated low on clarity or completeness rather than just capturing a static score.
- Combines findability metrics (search success rate, time-to-find, ease of locating the right article) with content-quality ratings (clarity, completeness, accuracy, organization, visuals) and a task-completion outcome question in one flow.
- Captures open-text detail on what was missing or unclear plus a multi-select on desired improvements, giving concrete, actionable content-gap data instead of only satisfaction scores.
- Segments results by role, industry, and company size so you can prioritize help-center fixes for the users and use cases that matter most.
SurveySparrow
Knowledge Article Feedback TemplateA fielding-ready template focused specifically on gathering feedback for individual knowledge base articles. It's conversational in style, which suits SurveySparrow's chat-form UI, but the question set appears fixed rather than adaptive to each respondent's answers.
優れている点
- Purpose-built for article-level feedback rather than generic satisfaction surveys
- Conversational form format may improve completion rates for quick feedback
- Part of a broader survey platform with standard reporting/dashboard tools
物足りない点
- No adaptive AI follow-up questioning based on how a respondent scores an article
- No published methodology or per-response quality scoring for feedback reliability
- No voice-based interview option or guided task/screen-share capability
QuestionPro
Company - Knowledge Management Survey TemplateThis template addresses broader organizational knowledge management (how knowledge is created, shared, and used internally) rather than help-center article findability and clarity specifically. It's a static, fielding-ready survey backed by QuestionPro's established analytics suite, but it's a different scope than a content-effectiveness audit.
優れている点
- Established enterprise survey platform with mature reporting and segmentation tools
- Customizable question library for broader knowledge-sharing assessments
- Likely supports standard skip logic and multi-channel distribution
物足りない点
- Framed around general knowledge management, not specifically knowledge base article findability/clarity/task completion
- No adaptive AI follow-up interview or voice AI interview option
- No transparent, per-response quality scoring or documented prompt methodology
よくあるご質問
「Knowledge Base Content Effectiveness 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21問含まれており、最初の設問は次のとおりです：「When did you most recently read an article in our knowledge base?」・「Which type of article did you read most recently?」・「How did you find that article?」。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、21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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