How to build a knowledge base

The reasons most teams fail to document internal procedures or how to properly use a product isn't because they don't care - it's because information tends to accumulate in channels that are easiest for the moment, like emails, message chains or scattered documents. But this very same information eventually drifts - people forget which Slack channel a subject was a discussed or which internal document referenced certain notes from an important meeting.

Building a knowledge base is one way of responding to this problem. A knowledge base is a dedicated repository of information, often divided into internal or external intent, whose purpose is to make information easily findable and up-to-date for an organization or team.

In this guide, we will walk through a practical sequence, starting with audience and content audits, moving into information architecture and article templates, and then ending in the less glamorous parts, like keeping things current and deciding what to measure..

If you are looking for definitions and the broader landscape, our knowledge base overview is a useful companion. It’s also important to note that this guide is meant as a general overview of building any knowledge base, regardless of whether it's designed for internal teams or external users. If you’re still deciding which type makes sense for your situation, see our guide on internal vs external knowledge bases, where we explain the differences and how to choose between them.

How to build a knowledge base from scratch

Building a knowledge base is often treated as a writing project, but in practice, it's actually closer to designing a system. This is mostly due to the fact that knowledge bases are never "done" - but an organically growing library that needs to stay updated as procedures, services or products change. Writing the articles and documents of a knowledge base is just a part of building and maintaining a knowledge base, whereas ingraining audits and maintenance in existing workflows is just as important to ensure that the knowledge base properly reflects what it is conveying.

Many knowledge bases succeed or fail long before the first article is even written, as the first step in building a knowledge base is understanding who the knowledge base is actually for.

Figure out who the knowledge base helps

Every knowledge base exists to help someone do something. That might be solving customer problems, onboarding new employees, reducing repetitive support requests, or helping a team operate consistently. But unless you are clear about what people are trying to accomplish, documentation easily becomes disconnected from real use.

The most practical way to understand information needs is to observe where questions already appear. Support tickets, repeated Slack questions, onboarding confusion, and workarounds are all signals of this. Digging into these channels will be one of the best steps in scoping out if you need an internal or external knowledge base.

An important thing when starting out is to not try to document everything, but only the things people actively need in order to move forward.

Content audit: what you have and what you actually need

Before writing anything new, it's worth taking look of what already exists. As mentioned, most organizations have more documentation than they realize, it's just scattered. Onboarding emails, process notes in Word docs, product specs in Google Drive, how-to threads buried in Slack. A content audit is the exercise of pulling all of this into view so you can make deliberate decisions about what to keep, consolidate, rewrite, or discard.

When auditing existing content, ask three questions of anything you find: Is it accurate? Is it still relevant? Would someone actually look for it here? If the answer to any of these is uncertain, that's a signal the content needs either updating or a clearer home before it becomes part of a knowledge base.

For content that doesn't yet exist, work backward from the questions you identified in the previous step. If support tickets repeatedly surface the same five issues, those are your first five articles. If new hires consistently get lost at the same point in onboarding, that's a gap worth filling before anything more peripheral.

Information architecture: making things findable

The structure of a knowledge base matters more than most people expect. Even well-written articles fail if people can't find them. One of the most common pitfalls when building knowledge bases is to organize and categorize information after how the organization thinks about itself, not how the users actually think about their problems.

The practical fix is to organize around tasks and outcomes rather than departments or internal product names. A customer doesn't think "I need the Billing section", they think "I need to update my payment method." An employee doesn't think "I need HR documentation", they think "I need to know how to request time off." Structuring around those mental models, rather than internal or technical hierarchies, dramatically reduces the friction between a user's question and the article that answers it.

Avoid making the hierarchy and top-level structure of your knowledge base too complex - about 6-8 top-level categories should be more than enough to properly segment information well. Avoid thinking too much bout subcategories until they're actually needed. Categories should emerge from the content - not the other way around, or it'll create friction both when writing and searching the information.

Another great way of making things findable is natural language search via vector embeddings, something we discuss more in-depth in our guide on how AI fits in with building and maintaining knowledge bases.

Writing articles that actually get used

A knowledge base article is not a memo, a policy brief, or a place to demonstrate thoroughness. Its only job is to help someone do something or understand something as quickly as possible. That changes how you should approach writing them.

Start with what the reader needs to know first, not with background or context. Use plain language and short sentences. If a procedure has steps, number them. If there's a decision to be made, flag it explicitly. Avoid burying the most important information in the middle of a paragraph.

To make the process of writing knowledge base articles easier, it can be a good idea to use templates. Apart from making articles feel more uniform and consistent, they also help remove the "blank page problem" when they're being written. For a detailed guide on the writing process itself, see our article on how to write a knowledge base article.

A template can help cover the minimum necessary aspects of an article: what is is, who it's for, what to do and what to do if something goes wrong.

Screenshots, short videos, and annotated diagrams can genuinely reduce confusion in procedural documentation, but only when they supplement clear writing rather than substitute for it. Visuals go stale faster than text and are harder to update, so use them where they add real clarity, not as a default.

Keeping it current

As we've made clear dozens of times throughout our article series on knowledge bases, the biggest culprit of a failing knowledge base is when information becomes stale and untrustworthy. This is an incredibly easy pit to fall into, as knowledge bases can quickly grow large, and without proper ownership and workflow that touches the knowledge base, articles are doomed to fall out of sync with what they're trying to describe.

To combat this, it is important to integrate review into existing workflows. When a product or procedure changes, the update process should include reviewing and updating the knowledge base to reflect the new changes. This ensures that any task is not complete before it also appears up-to-date in the knowledge base.

Assigning ownership also helps, but it is important that the ownership is specific and not something vague like "the marketing team owns marketing documentation," as that quickly leads to neglected documentation. Instead, put specific people or roles in charge of certain documents or categories.

These two things, workflow and ownership, are the cornerstones of building a robust knowledge base that keeps up with changes in products and organizations.

For more information on this, read our guide on how to maintain a knowledge base.

What this looks like in practice

Consider a product team running two-week sprints. Rather than treating documentation as something to revisit after a release, they make it part of the definition of done. A ticket isn't closed until any affected knowledge base articles have been updated. Ownership is assigned at the ticket level, meaning a specific person is responsible, not a vague team. Any documentation gaps that slip through get surfaced in the sprint retrospective and added to the next cycle. The result is a knowledge base that stays current not because people remember to update it, but because updating it is part of finishing work.

What to measure when building a knowledge base

Measuring the effectiveness of a knowledge base is genuinely difficult, and the most available metrics are often the least meaningful. Page views tell you what people are reading, but not whether it helped. High search volume for a topic might mean your content is popular or that your content isn't answering the question and people keep coming back.

More useful signals tend to require a bit more work to surface. Support ticket deflection, whether users who visit the knowledge base before contacting support actually do so less, is one of the better indicators of real utility. Article ratings and feedback prompts, if simple enough that people actually use them, surface specific content that isn't working.

Conclusion

Building a knowledge base that actually works comes down to a few principles applied consistently. Start with your audience and their real questions, not an idealized version of what you think they need. Build structure around how people think about their problems, not how your organization thinks about itself.

Importantly, the work on a knowledge base doesn't stop once the articles are written. Assigning ownership to knowledge base resources and integrating its maintenance in existing workflows are important steps in ensuring that a knowledge base doesn't become a stale vault of outdated and incorrect information.