Analytics for Documentation — Complete Guide

Documentation analytics measure how users interact with your docs. Learn how to track page views, search queries, user journeys, content effectiveness, and use data to improve documentation quality.

What You'll Learn

You will learn which metrics matter for documentation, how to set up privacy-friendly analytics, how to track search behavior, and how to use data to prioritize documentation improvements.

Why It Matters

Without analytics, you are guessing what users need. Analytics reveal which pages are most visited, where users get stuck, what they search for, and which content needs improvement.

Real-World Use

DodaTech uses Plausible Analytics to track page views, time on page, and search queries. The data drives monthly content prioritization: low-performing pages are improved, and popular search terms with no results trigger new content creation.

flowchart LR
  A[User Visits Doc Page] --> B[Analytics Script]
  B --> C[Page View Event]
  B --> D[Search Query Event]
  B --> E[Click Event]
  C --> F[Analytics Dashboard]
  D --> F
  E --> F
  F --> G[Identify Improvement Areas]
  G --> H[Prioritize Content Updates]
  A:::current
  classDef current fill:#f90,color:#fff,stroke:#333,stroke-width:2px

Key Metrics for Documentation

Setting Up Plausible Analytics

<!-- Add to your site head -->
<script defer data-domain="docs.example.com"
  src="https://plausible.io/js/script.js">
</script>

# hugo.yaml
params:
  plausible:
    domain: docs.example.com
    src: https://plausible.io/js/script.js

Tracking Search Queries

// Track internal search queries
function trackSearch(query) {
  plausible('Search', { props: { query: query } });
}

// Call this when a user searches
searchButton.addEventListener('click', () => {
  const query = searchInput.value;
  trackSearch(query);
});

Setting Up Goals

Configure analytics goals to track meaningful actions:

// Track a goal completion
plausible('Download SDK', {
  callback: () => console.log('Goal tracked')
});

Analytics Dashboard

Create a dashboard that shows:

• Most visited pages this month
• Pages with highest bounce rate
• Top search queries with no results
• User flow through getting started content
• Device and browser breakdown

# Export analytics data via API
curl https://plausible.io/api/v1/stats/breakdown \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -G \
  --data-urlencode "site_id=docs.example.com" \
  --data-urlencode "period=30d" \
  --data-urlencode "property=event:page"

Common Mistakes

1. Tracking Everything Without Purpose

Collecting thousands of data points without analysis creates noise. Define what you need to know first.

2. Ignoring Search Analytics

Search queries reveal exactly what users want but cannot find. This is the highest-value analytics data for documentation.

3. Not Segmenting by User Type

New users need different content than experienced users. Segment analytics by page type or user cohort.

4. Using Privacy-Invasive Analytics

Google Analytics shares data with third parties and may violate privacy regulations. Use privacy-friendly alternatives like Plausible or Fathom.

5. Not Acting on Data

Collecting analytics without acting on them is pointless. Schedule monthly reviews and create action items from the data.

Practice Questions

1. What is the most valuable analytics metric for identifying content gaps?

Search queries with zero results. These show exactly what users want but cannot find.

2. How do privacy-friendly analytics differ from Google Analytics?

Privacy-friendly analytics (Plausible, Fathom) do not use cookies, do not track users across sites, and do not collect personal data. They provide aggregate metrics without privacy violations.

3. How can you track whether users complete a tutorial using analytics?

Set up a goal that triggers when users reach the final page of the tutorial sequence.

4. What should you do when a page has high traffic but high bounce rate?

Improve the page title, meta description, and opening paragraph to better match user intent.

5. Challenge: Set up Plausible or Fathom analytics on a documentation site. Create a dashboard showing the top 10 pages by traffic, top 10 search queries, and pages with the highest bounce rate.

FAQ

Mini Project

Set up privacy-friendly analytics on a documentation site. Configure event tracking for page views and search queries. Create a dashboard that shows the top 10 most visited pages, search queries with zero results, and page bounce rates. Write a one-page analysis with three actionable recommendations.

What's Next

You now have a complete docs-as-code foundation. Complete the Docs-as-Code Project to apply everything you learned. Then explore the Documentation Tools Comparison module.