Overview & Insights
Understand the different analytics we provide for your documentation and how they help you continuously improve it.
Overview
Analytics gives you a high-level view of how people use your documentation so you can improve it over time. It helps you answer questions such as:
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How many users visit your docs, and how engaged are they?
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Which pages get the most attention?
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What are users searching for, and are they finding what they need?
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Where do users leave feedback, and what does it tell you about content quality?
What you can track
You can open Analytics from the sidebar. It currently includes three main data groups:
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Traffic — user behavior metrics that show how people discover, navigate, and engage with your docs over time.
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Feedback — page-level reactions that highlight where content works well and where readers struggle.
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Ask AI Analytics — insights into how readers use the AI assistant, what they ask, and where they ask it from.
Use these metrics to understand how readers move through your docs, where they get stuck, and how effectively your content and AI experiences answer their questions.
Traffic
Traffic analytics provides an at-a-glance view of how readers interact with your documentation over time, including:
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Pageviews and unique sessions
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Average session duration
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Bounce rate and other engagement indicators
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Top content by traffic source and popularity

Feedback
Feedback analytics shows how users feel about your content and individual pages. You can monitor:
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Page-level satisfaction trends
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Likes and dislikes
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Pages where users most often express confusion or frustration
After a thumbs up or thumbs down reaction, you can optionally prompt readers for additional context using a short follow-up survey. This captures free-text reasons or comments so you understand why they reacted the way they did. To configure feedback settings, in the Editor, click Site Config in the top toolbar, then select Feedback.

When you configure feedback routing to GitHub in your project configuration, you can also let users open an issue directly in a specified public repository. This turns in-product feedback into actionable items in your existing issue tracker.

User feedback is a powerful signal for prioritizing updates, refining unclear topics, and validating whether recent changes are helping readers.
Ask AI Analytics
Ask AI Analytics helps you understand how readers use the AI assistant alongside your docs. You can see:
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The total volume of questions asked over time
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How many unique sessions interact with the assistant
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A list of recent questions, including the page where each question was asked and the timestamp
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Trends in question volume that highlight spikes in interest or confusion
The recent questions view supports pagination so you can load more history, and you can export the underlying data to CSV for deeper analysis or sharing with your team.

Third-party analytics
In addition to built-in analytics, you can send tracking data to external platforms like Google Analytics, PostHog, Mixpanel, and more using built-in integrations. For tools not covered by built-in integrations, use custom scripts to inject any tracking snippet.
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