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Knowledge Base Best Practices: Write Articles That Actually Get Read

A knowledge base only works if customers can find answers before they need to contact support. Here's how to build one that deflects tickets.

Kerabie TeamUpdated 29 Oct 2026 2 min read
In this article

Most knowledge bases are written by someone who already knows the product — which is exactly why they fail to help customers who don't. Here's how to build articles that actually deflect support tickets.

The knowledge base reality check

Before writing a single article, pull your last 100 support conversations and categorise the questions. You'll find that 20–30 questions account for 70–80% of your volume. Those are your first articles.

Writing articles that work

Use the exact words your customers use

Search your support conversations for the exact phrases people type. If customers say "I can't log in" rather than "authentication failure", your article title should be "I can't log in to my account."

Answer the question in the first paragraph

Don't make people scroll to find the answer. Lead with it. Context and detail come after.

Bad: "Kerabie's password reset feature is part of our authentication system which..."

Good: "To reset your password: click Forgot password on the login page, enter your email, and check your inbox for a reset link."

Use numbered steps for processes

Every action that requires a sequence should use numbered steps. Readers scan, not read. Numbers make scanning easy.

Screenshots for anything visual

If the answer involves clicking something in a UI, show a screenshot. Text descriptions of interfaces are universally confusing.

Include the "why" for non-obvious answers

If the answer seems strange ("You can't export before 24 hours"), explain why. It prevents follow-up questions and frustration.

Organising your knowledge base

Group articles into 4–6 categories maximum. More than that and customers can't navigate.

Common structures that work:

  • Getting started → Account settings → Billing → Integrations → Troubleshooting
  • By feature → By role → Troubleshooting

Measuring effectiveness

Track:

  • Deflection rate — % of people who read an article and don't start a chat
  • Article views — which articles get the most traffic
  • Helpful/Not helpful votes — which articles need rewriting
  • Search terms with no results — gaps in your coverage

Setting up in Kerabie

Kerabie's AI assistant is trained on your knowledge base automatically. Every article you publish becomes part of the AI's knowledge — so the better your articles, the better your AI responses.

Create your knowledge base →

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