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Zoho Desk

Knowledge Base Article

Knowledge base articles in Zoho Desk are self-service documents in the Help Centre that reduce ticket volume by enabling customers to resolve issues indepe

A knowledge base article in Zoho Desk is a self-service document published in the Help Centre that answers common customer questions, explains product features, or provides step-by-step guides for resolving known issues.

Article Structure in Zoho Desk

Articles are organised into categories and sections. Each article has a title, body content with rich formatting (images, videos, code blocks), tags, and SEO meta fields. Articles can be marked as published or draft and restricted to specific customer groups.

Article Feedback and Improvement

Customers can rate articles as helpful or unhelpful. Zoho Desk tracks article feedback, showing which articles have low helpfulness scores. This data guides the knowledge management team to update or rewrite underperforming articles.

Using Articles to Deflect Tickets

The ASAP widget and Answer Bot surface relevant articles to customers before they submit a ticket. When an article resolves the customer’s question, the ticket is never created. Zoho Desk tracks this as an article deflection, measuring the knowledge base’s return on investment.

Example: A cloud storage company publishes a step-by-step article on how to recover deleted files. After publishing, 200 customers per month read the article and resolve their own issues, reducing tickets for this topic by 60% compared to the previous quarter.
What is a Knowledge Base Article in Zoho Desk?

A knowledge base article is a self-service document in the Help Centre that answers customer questions or guides them through resolving known issues. Good articles reduce ticket volume by enabling customers to help themselves.

How does Zoho Desk measure the effectiveness of knowledge base articles?

Zoho Desk tracks article views, helpfulness ratings, and ticket deflections (customers who read an article and did not submit a ticket). This data shows which articles provide the most value and which need improvement.

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