Was this article helpful? Product Survey Question

Measure content effectiveness in real-time and identify which articles resonate with readers to optimize your knowledge base and improve user self-service success.

Was this article helpful?
No
Yes

Question type

Yes/No binary choice

Primary metric

CSAT (Customer Satisfaction Score)

Answer scale variations

Comparison table
StyleOptions
Typical choiceNo
Yes
More emphaticNot helpful
Very helpful
Direct feedbackDid not help
Helped me

Follow-Up Questions

Following every helpful article is a simple question: did it actually help? The thumbs up/down response tells you whether your content hit the mark, but the real insights come from understanding why readers found it helpful or unhelpful. These follow-ups reveal gaps in your content, validate what's working, and show you exactly how to improve your help documentation.

This open-ended follow-up captures the specific reasons behind each rating. Users might mention missing information, confusing explanations, outdated screenshots, or exactly what helped them solve their problem. These qualitative insights are gold for prioritizing content updates and understanding your readers' real needs.

Sometimes an article is well-written but doesn't match what the reader actually needs. This question separates content quality issues from discoverability and coverage gaps. If people rate articles as unhelpful because they're looking for something different, you might need better search, clearer titles, or net-new content on missing topics.

This structured follow-up helps you spot patterns in what's missing across your documentation. If multiple articles get requests for more screenshots or troubleshooting sections, that's a clear content strategy signal. You can prioritize improvements that will have the biggest impact across your entire help center.

When to Use This Question

SaaS Products: Display immediately after a user completes reading a help center article or documentation page using an unobtrusive inline widget, because catching feedback while the content is fresh maximizes accuracy and helps you identify which specific articles need improvement before users abandon your platform for competitor docs.

E-commerce: Trigger on product detail pages after 45 seconds of engagement or when a user scrolls past the product specifications using a slide-in corner prompt, because this timing indicates genuine interest while allowing shoppers to absorb information, and the feedback reveals whether your product descriptions answer actual purchase questions.

Web Apps: Present within your knowledge base or FAQ section after a user has viewed at least 2 related articles in one session via a sticky footer bar, because multiple article views signal they're struggling to find answers, and this catches them at the exact moment you can learn if your content structure is failing them.

Mobile Apps: Show within 10 seconds after users access in-app help content or tutorial screens using a non-modal overlay that doesn't block the back button, because mobile users have limited patience and immediate feedback tells you if your micro-content is actually solving problems or just adding frustration to their workflow.

Digital Products: Deploy on tutorial videos, guides, or learning resources at the moment users close or finish the content using a center-screen modal with dimmed background, because completion indicates investment in learning, and this placement has the highest response rate for identifying gaps between what you're teaching and what users actually need to succeed with your product.

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