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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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
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)
The following statements are about the article you read most recently. Please indicate how much you agree or disagree with each one.
Did this article enable you to complete your task?
- Yes, completely
- Yes, partially
- No
- I was just browsing
What, if anything, was missing or unclear in the article?
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
Thank you for your time—your feedback helps us improve the knowledge base for everyone.
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)
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
The article was easy to understand.
Overall, how easy was it to use the article to achieve your goal?
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
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
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
The article covered the topic completely.
How likely are you to use our knowledge base again in the future?
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?
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
How easy was it to identify the right article from the search results or category listing?
The information in the article was accurate and up to date.
Based on your responses in this survey, please share any additional thoughts or feelings about your knowledge base experience.
The article was well-organized and easy to scan.
The article included helpful examples, screenshots, or visuals.
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 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.
잘하는 점
- 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
아쉬운 점
- 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.
잘하는 점
- 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
아쉬운 점
- 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
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.