Analytics Tools for Documentation — Complete Guide

In this tutorial, you will learn about Analytics Tools for Documentation. We cover key concepts, practical examples, and best practices to help you master this topic.

Analytics tools measure how users interact with documentation. Compare Plausible, Fathom, and Umami as privacy-friendly Alternatives to Google Analyticse Analytics" >}} for tracking page views, search queries, and content effectiveness.

What You'll Learn

You will learn how to set up privacy-friendly analytics for documentation, what metrics to track, and how to use analytics data to improve documentation quality.

Why It Matters

Without analytics, you cannot know which documentation pages are most useful, where users get stuck, or what content is missing. Analytics provide the data to prioritize improvements.

Real-World Use

DodaTech uses Plausible Analytics to track page views, time on page, search queries, and user journeys. The data drives monthly content prioritization.

flowchart LR
  A[Analytics Script] --> B[Collect Metrics]
  B --> C[Page Views]
  B --> D[Search Queries]
  B --> E[User Flow]
  C --> F[Dashboard]
  D --> F
  E --> F
  F --> G[Identify Improvements]
  G --> H[Update Content]
  A:::current
  classDef current fill:#f90,color:#fff,stroke:#333,stroke-width:2px

Tool Comparison

Plausible Setup

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

# Hugo configuration
params:
  plausible:
    domain: docs.example.com
    src: https://plausible.io/js/script.js

Custom Event Tracking

// Track documentation-specific events
// File: static/js/docs-analytics.js

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

// Track code copy events
document.querySelectorAll('pre code').forEach((block) => {
  block.addEventListener('click', () => {
    plausible('Code Copy');
  });
});

// Track outbound links
document.querySelectorAll('a[href^="http"]').forEach((link) => {
  link.addEventListener('click', () => {
    plausible('Outbound Link', { props: { url: link.href } });
  });
});

Fathom Analytics Setup

<script
  src="https://cdn.usefathom.com/script.js"
  data-site="YOUR_SITE_ID"
  defer>
</script>

# Hugo configuration
params:
  fathom:
    siteId: "YOUR_SITE_ID"
    src: https://cdn.usefathom.com/script.js

Dashboard Metrics to Track

## Key Documentation Metrics

- Page views: Which pages are most popular?
- Bounce rate: Are users finding what they need?
- Time on page: Are they reading the content?
- Search queries: What are they looking for?
- Search no results: What content is missing?
- Entry pages: Where do users start?
- Exit pages: Where do they leave?
- Goals: Are users completing desired actions?

Common Mistakes

1. Using Google Analytics for Documentation

Google Analytics is privacy-invasive, slow, and often blocked by ad blockers. Use privacy-friendly alternatives.

2. Not Tracking Internal Search

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

3. Ignoring Bounce Rate Patterns

High bounce rates on specific pages indicate a mismatch between the page title and the content.

4. No Goal Tracking

Without goals, you cannot measure whether users complete desired actions like finding an API key or downloading an SDK.

5. Not Acting on Data

Collecting analytics without acting on them is wasted effort. Schedule monthly reviews with action items.

Practice Questions

1. Why should you use privacy-friendly analytics over Google Analytics?

Privacy-friendly analytics (Plausible, Fathom) do not use cookies, are GDPR compliant, and have minimal page load impact.

2. What is the most valuable analytics metric for documentation?

Search queries with zero results, which reveal content gaps that users are actively trying to find.

3. How do you track whether users find what they need?

Track search queries, measure bounce rate on landing pages, and set up goals for key actions.

4. What custom events are worth tracking in documentation?

Search queries, code copy events, outbound link clicks, and SDK download clicks.

5. Challenge: Set up Plausible or Fathom analytics on a documentation site. Configure custom event tracking for search queries and code copy actions. Create a dashboard showing the top 10 pages and top 5 search queries.

FAQ

Mini Project

Set up Plausible analytics on a documentation site. Configure event tracking for search queries and code copy actions. Create a dashboard with the top 10 pages, top 5 search queries, and pages with the highest bounce rate. Write a one-page analysis with three actionable recommendations.

What's Next

After analytics, explore Search Tools like Algolia, Typesense, and Meilisearch. Then complete the Tools Project.