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Most documentation problems aren’t writing problems. They’re structure problems. A site with ten pages is easy to navigate because users can scan everything in seconds. At fifty pages, gaps start to appear. At a hundred, a user who can’t find what they need in thirty seconds will give up. At best, they’ll open a support ticket, but it’s more likely they’ll just give up and move on to another solution. This course covers the decisions that determine whether your docs hold up over time: who you’re writing for, what type of content each page should be, how to design navigation around user goals rather than product features, and how to keep everything accurate as things change. Each lesson is written for teams using Mintlify. AI writing tools are woven throughout — because the structural thinking that makes docs readable for humans also makes AI far more effective when you put it to work on your docs.

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What you’ll learn

  • How to define your audience clearly enough to use as context for AI writing tools
  • How to categorize content by type, and why mixing types makes docs harder to navigate
  • How to design navigation that reflects what users are trying to accomplish
  • How to keep documentation accurate at scale, with automation doing most of the heavy lifting

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Who this is for

Developers, technical writers, and product teams who own documentation at a company using Mintlify. You don’t need a writing background. You just need to care about creating documentation that works for your users.

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Lessons in this course

  1. Understand your readers first — Why audience clarity is the foundation of every structural decision, and how to use it as context for AI writing tools.
  2. Choose the right content type — Different types of documentation and why mixing them makes it harder to navigate.
  3. Design navigation for your users (not your product) — How to organize content around what users are trying to accomplish, and how to use Mintlify’s navigation primitives correctly.
  4. Keep docs accurate as your product grows — A maintenance process that uses automation to prevent docs from going stale.