Documentation does not fail because people cannot write. It fails because there is no mechanism keeping it true, so it drifts, and once readers catch it lying twice they stop reading. Everything below is about mechanisms.
The Diátaxis framework identifies four documentation types that serve incompatible needs: tutorials (learning by doing, one guaranteed path, no options), how-to guides (achieving a specific goal, assumes competence), reference (complete and dry, optimised for lookup), and explanation (why it works this way, context and trade-offs). Mixing them is the most common structural failure: a tutorial that pauses to explain architecture loses the beginner, and reference material with narrative asides is unusable for lookup. Put each type in its own section and the writing gets easier because the audience is finally fixed.
Keep documentation in the same repository as the code, in Markdown, reviewed in the same pull requests. That alone changes the incentives — a change that alters behaviour and does not touch the docs becomes visible in review. Then add CI checks so the process has teeth:
lychee or linkchecker against built HTML, catching internal moves and dead external links.vale with a project vocabulary enforces terminology consistency, which matters more than grammar.Every wrong code sample teaches a reader that the docs cannot be trusted. Make samples executable. Python's doctest runs examples in docstrings as tests. Go's example functions in _test.go files appear in generated docs and run under go test. For anything else, extract fenced blocks and execute them in CI — even a smoke test that the snippet parses and imports resolve catches most rot. A sample that has been running green for a year is documentation you can promise is correct.
API reference should be generated from the source of truth: an OpenAPI spec, a GraphQL schema, or docstrings. Hand-maintained parameter tables diverge within weeks. But generation is only appropriate for reference — auto-generated "documentation" that lists every function with no prose is a directory, not documentation, and it is why so many generated sites feel useless.
If users run more than one version of your software, the docs need versions too. MkDocs with mike, Docusaurus versioning and Sphinx with a version selector all handle this. Two rules keep it manageable: always mark which version a page describes, and put an explicit "this is not the latest version" banner on old versions — search engines will send people to a 2023 page for years and they will not notice the URL.
The highest-value page in most documentation is the error-message index, and it is nearly always missing. Take your top twenty support questions and your top twenty error strings, and give each one a heading users can find by pasting the message into a search box. Include the literal error text verbatim, because that is exactly what people search for. This one page typically deflects more support load than the rest of the site combined.
Add search analytics and read the queries that return nothing — that list is a documentation backlog written by your users. Track page views against support tickets by topic. And put a dated "last reviewed" stamp on each page with an owner; a page nobody has confirmed in eighteen months should be flagged automatically rather than discovered wrong by a customer.
If you have time for five pages: what this is and who it is for, a fifteen-minute quickstart that provably works, installation including the awkward platform, the error index, and a changelog. Everything else is an improvement on a foundation; those five are the foundation.
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