Doc category index for community knowledge base
Reserve one forum category for documentation with an index topic and docs search so the best community answers graduate into a browsable knowledge base.
Why this can grow a startup
A lot of communities know the answer but hide it inside a thread shape that is hard to browse later. Discourse Doc Categories gives a middle path between a pure forum and a separate docs product. Teams can mark categories for documentation, assign an index topic, add sidebar navigation and filtering, run `in:docs` searches, and check reports for missing or extraneous index items. That means the same community can keep its conversational surface while promoting the best durable answers into something that behaves more like docs. The result is better onboarding, cleaner discovery, and less pressure to rewrite every good answer from scratch.
Company example
Discourse's official Doc Categories plugin adds index topics, documentation sidebars, search helpers, and maintenance reports for categories set aside as documentation.
Source and metric
Source: Discourse Meta: Discourse Doc Categories
Doc Categories adds `in:docs` search plus reports for topics missing from the index or listed there incorrectly.
Source discovered: May 29, 2026
When to use it
Use this when Community, SEO, Content is relevant to knowledge base, community-led growth, crawlability and you can run a bounded test with a low budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read Discourse Meta: Discourse Doc Categories and identify what is directly supported.
- Choose one channel context: Community, SEO, Content.
- Define the test around Doc Categories adds `in:docs` search plus reports for topics missing from the index or listed there incorrectly..
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.