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A useful knowledge base helps people find an accurate answer and finish a task without unnecessary back-and-forth. Build it around real reader needs, write focused and actionable articles, review them before publication, and improve or retire them as problems and products change. Keep a clear route to human support for issues that an article cannot resolve.
What makes a knowledge base useful?
A knowledge base is more than a folder of documents. Effective self-service combines understandable information with a way to publish, find, maintain, and improve it. Depending on the organization, the wider self-service channel may also include a request portal or community.
The case for making answers easy to find is substantial, though the figures should be read in context: Zendesk reports that its 2023 research found 73% of consumers want to solve product or service issues on their own, and 90% expect a brand or organization to offer a self-service support portal. These are Zendesk-reported 2023 findings, not universal or current-year measurements. Zendesk’s successful knowledge base guidance
Self-service should not become a barrier to personal help. A person with an unusual, complicated, or unresolved issue still needs a visible way to contact support.
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How to create useful self-service content
1. Choose the audience and the outcomes
Decide whether the collection serves customers, employees, or both. Identify the products, tasks, and policies it should cover, then describe the intended outcome in practical terms: configure a feature, complete an order, recover account access, or follow a workplace process. A clear scope helps keep articles relevant and gives writers a way to judge whether a topic belongs.
2. Find topics from real support demand
Start with recurring problems and incoming support cases. Review ticket data for common issues, and investigate searches that are followed by ticket creation. Read the related tickets to learn what answer was missing or why the available answer did not work. Zendesk recommends this kind of analysis in its AI content strategy guidance and knowledge-base measurement guidance.
Ask agents and readers to flag missing, inaccurate, or confusing articles. Repeated contact is a signal to investigate, not proof that an article alone will solve the issue; some problems need a policy change, product fix, or direct support.
3. Assign ownership and subject-matter review
Name one person to oversee the knowledge base’s needs and consistency. Give agents a simple way to flag content problems, make maintenance part of writers’ regular work, and involve subject-matter experts when technical accuracy matters. An article can be written by an agent or a technical writer, but it still needs clear accountability and access to expertise.
Zendesk Documentation Team’s Jennifer Rowe summarizes the writing standard: “Regardless of who is creating the content (support agents, technical writer, or someone else), it’s important that articles are clear, concise, and consistent.” Zendesk’s knowledge base best practices
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4. Organize around tasks and make search prominent
Arrange content around the audience’s tasks and the answers they need. Use the fewest clear categories and sections that still make browsing useful, and keep search easy to find: readers may search rather than navigate through nested levels. Zendesk describes a common hierarchy of categories, sections, and articles. Its examples include shopping, shipping, and returns for a consumer business, and a small set of high-level categories with related sections for Slack. Zendesk’s guidance on knowledge-base structure
Use labels and terminology readers are likely to recognize. In Zendesk’s help center, labels can affect help-center and bot search results; that is a product-specific detail, not a guarantee about how search works on every platform. Zendesk’s knowledge-base maintenance guidance
5. Write one focused, actionable article at a time
Use a reusable template so authors know what to include and readers encounter a familiar format. Title each article with the task or problem in language people actually use. For example, “How do I set up my new computer?” or “What should I do if I forget my login screen password?” describes a concrete need more clearly than a broad title such as “Account information.” These examples appear in Atlassian’s knowledge-base guidance.
Keep each article focused. Use plain language, short paragraphs, and lists for steps. Start instructions with a direct action where it makes sense, and link to related explanations rather than repeating them. Include prerequisites, the applicable product or version, the expected result, and recovery or escalation steps when they matter. Zendesk’s writing guidance
6. Review before publishing
Build review into the publishing process. Ask a knowledgeable reviewer to verify technical accuracy; reproduce the steps; check that the title makes sense, links work, and the article agrees with related content. Keep drafts private during review and publish only after approval.
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Some platforms offer workflow features such as assigning reviewers or scheduling publication only on particular plan levels. Those are platform-specific capabilities, not requirements that every knowledge base supports. Zendesk’s article-creation documentation
7. Make the help center easy to reach and use
Link to help from the product or organization’s website, make search visible, and use familiar terminology. Check that intended readers can access and understand the content. Feedback tools and community discussions can surface unanswered questions, but monitor them so questions do not sit without a response.
8. Measure outcomes, then improve or retire content
Track searches, article usage, reader feedback, engagement, and support cases created after a search or article view. Look for failed journeys—for example, searches that repeatedly lead to tickets—and use their context to improve an article or create a missing one.
Zendesk defines a self-service score as total help-center users divided by total unique ticket requesters. Treat this as Zendesk’s measure, not a universal industry benchmark; interpret it alongside a documented measurement period, the denominator, and the limits of the data. Zendesk’s knowledge-base measurement guidance
Set reminders or verification cycles so that accuracy does not depend on someone happening to notice an old page. When information changes, decide whether to update or archive the article by considering whether readers still search for and use it. If you archive it, repair links or arrange redirects where needed. Atlassian also recommends regular audits for relevance, usefulness, findability, and non-use. Atlassian’s knowledge-base guidance
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What should a knowledge-base article include?
Adapt the template to the subject rather than forcing every article into identical fields. A practical starting point is:
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- Task- or problem-shaped title: use words readers are likely to search for.
- Direct opening: state what the article helps the reader do or resolve.
- Prerequisites and scope: specify access, equipment, product version, or other conditions that affect the steps.
- Actionable instructions: provide concise, ordered steps and name relevant controls or settings when known.
- Expected result: explain how the reader can tell the task worked.
- Recovery or escalation: say what to try next or how to reach support if the instructions do not solve the problem.
- Related explanations: link to relevant content rather than restating it.
Technical and policy articles may need different fields, but every article should be accurate, understandable, and focused on a reader’s need.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do you know which help articles are missing?
Use several signals together instead of treating one metric as proof of a gap:
- Searches followed by ticket creation can reveal questions the available content did not resolve.
- Ticket themes show recurring issues; reading ticket context helps distinguish a missing explanation from a product defect or a case that needs individual attention.
- Agent and reader reports can identify confusing, inaccurate, or hard-to-find material.
- Search behavior and article usage can expose topics people seek out, while feedback and engagement help show whether the answer is useful.
Investigate a failed journey before adding an article. The right fix may be a clearer title, a corrected instruction, better navigation, or a non-content change—not another page.
Frequently Asked Questions
How often should a knowledge base be reviewed?
Set a verification cycle or review reminders that fit how quickly the underlying product, process, or policy changes. Assign responsibility so updates happen as routine work, and review sooner when reader feedback, support cases, or a known change signals a problem.
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Should every support issue have a self-service article?
No. Repeated issues are worth investigating, but unusual, complex, or unresolved requests may require a human response, a product fix, or a policy change. Keep a support route available alongside self-service.
What is Zendesk’s self-service score?
Zendesk defines it as total help-center users divided by total unique ticket requesters. It is a Zendesk-defined measure, not by itself a universal benchmark; document the measurement period and denominator when interpreting it.
Frequently Asked Questions
How often should a knowledge base be reviewed?
Set a verification cycle or review reminders that fit how quickly the underlying product, process, or policy changes. Assign responsibility so updates happen as routine work, and review sooner when reader feedback, support cases, or a known change signals a problem.
Should every support issue have a self-service article?
No. Repeated issues are worth investigating, but unusual, complex, or unresolved requests may require a human response, a product fix, or a policy change. Keep a support route available alongside self-service.
What is Zendesk’s self-service score?
Zendesk defines it as total help-center users divided by total unique ticket requesters. It is a Zendesk-defined measure, not by itself a universal benchmark; document the measurement period and denominator when interpreting it.
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