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Documentation diagrams: when to use them and how to keep them accurate

March 12, 2026

EP

Ethan Palm

Technical Writing

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Documentation diagrams: when to use them and how to keep them accurate
SUMMARY

Diagrams can clarify complex systems or add unnecessary visual noise. Here's when to use documentation diagrams, when to skip them, and how diagrams-as-code tools like Mermaid solve the maintenance problem that makes most diagrams go stale.

I don't use many diagrams in documentation. Not because I don't see the value, but because most documentation diagrams I've encountered are either unnecessary decoration or quietly out of date.

But sometimes a diagram is exactly what users need. The challenges are knowing when diagrams actually help clarify complex concepts and then keeping diagrams accurate as your product changes.

When documentation diagrams are useful

There are specific use cases where diagrams improve your content. The best use of diagrams is to clarify complex concepts that are difficult to explain in prose alone.

Some examples include:

Authentication and authorization flows. Try explaining OAuth 2.0 or SAML authentication in pure text. You can do it, but a sequence diagram showing the handshake between client, authorization server, and resource server makes it immediately clear. Users can see the flow at a glance instead of mentally tracking state across paragraphs.

API request/response cycles with multiple services. When an API request triggers calls to three different services before returning a response, a diagram shows the architecture in a way that text can't match. Users understand the system topology and can troubleshoot more effectively.

State machines and decision trees. "If status is X and user role is Y, then Z happens" gets complicated fast. A state diagram or flowchart maps the logic visually, which makes edge cases and transitions more obvious.

Database relationships. Entity-relationship diagrams show table structures, foreign keys, and cardinality constraints more clearly than describing them in text. Developers can understand the data model at a glance.

In each of these cases, the diagram isn't decoration. It's doing work that prose can't do as efficiently.

When to skip diagrams in your docs

Not every concept benefits from visualization.

Linear processes. Installation steps, straightforward workflows, and sequential procedures are often clearer as numbered lists. A diagram showing five boxes connected by arrows adds visual weight without adding clarity.

Anything that changes frequently (unless you have a maintenance plan). If your UI changes every sprint, screenshots will be outdated constantly. If your architecture shifts regularly, diagrams become liabilities.

When the diagram just mirrors the text. If your diagram and your prose say the exact same thing, one of them is redundant. Usually it's the diagram.

When you're adding it to make the page look less text-heavy. Visual variety is nice, but not at the cost of maintenance burden. If the diagram isn't clarifying a concept, skip it.

Diagrams that just exist because someone thought the page needed an image often confuse more than they help.

Why most documentation diagrams go stale

Here's the core problem: most diagrams are divorced from the code.

You create a diagram in Draw.io, Lucidchart, or a similar tool. It gets exported as a PNG or SVG and embedded in the docs. Everything looks great.

Then someone changes the architecture. They update the code and maybe the API documentation. But the diagram? That lives in a separate tool, probably owned by a different person, and it doesn't get updated.

Six months later, users are following a diagram that describes a system that no longer exists.

This happens because visual diagramming tools exist outside version control. The diagram isn't part of the code review process. Engineers can't update it in the same PR where they change the implementation. The friction is high enough that diagrams just don't get maintained.

How diagrams-as-code solves the maintenance problem

Diagrams-as-code is an approach where diagrams are defined as text within your documentation files rather than exported images from a separate tool. Because the diagram lives as code, it can be version controlled, reviewed in pull requests, and updated in the same commit as the related code change.

Mermaid is the most widely adopted diagrams-as-code tool for technical documentation. Mermaid diagrams live in your Markdown files as text blocks. When an engineer changes the authentication flow, they can update the Mermaid diagram in the same commit. Reviewers see the diagram change in the PR. There's no separate export step, no orphaned image file.

Here's a simple example of an OAuth authentication flow written directly in Markdown:

sequenceDiagram
    participant User
    participant Client
    participant AuthServer
    participant API

    User->>Client: Click "Login"
    Client->>AuthServer: Authorization request
    AuthServer->>User: Login page
    User->>AuthServer: Credentials
    AuthServer->>Client: Authorization code
    Client->>AuthServer: Exchange code for token
    AuthServer->>Client: Access token
    Client->>API: Request with token
    API->>Client: Protected resource

You can version this diagram with the docs. If the auth flow changes, update the Markdown and the diagram shows the new flow. No separate tool, no export process, no outdated diagram.

Tips for using documentation diagrams effectively

Start with the most stable parts of your system. Authentication flows, core architecture, and fundamental concepts don't change as often as UI or implementation details. These are safer bets for diagrams.

Keep them simple. If your diagram needs a legend and multiple colors to parse, it's probably trying to show too much. Break it into multiple diagrams, or reconsider whether a diagram is the right choice at all.

Write good alt text. Screen readers can't parse diagrams. Your alt text must describe what the diagram conveys, not just that a diagram exists. "OAuth 2.0 authorization flow: client requests authorization, user authenticates, authorization server returns token, client accesses protected resource" is far better than "diagram."

Diagram concepts, not implementation details. The high-level architecture of how services communicate is more stable than specific endpoints or parameters. Diagram the concept. Document the details in text.

The bottom line

Documentation diagrams aren't decoration. They're tools that clarify specific types of information (flows, relationships, state machines) that are harder to explain in prose.

But only use them when they genuinely help. And if you use them, make them maintainable. Diagrams-as-code tools like Mermaid keep your documentation accurate because they live in version control alongside your code, not in a separate tool that gets forgotten.

The goal isn't to make your docs look better. It's to make them more useful. Sometimes that means adding a diagram. Often, it means skipping one.