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Documentation Metrics

Metrics demonstrate documentation value and guide improvement. Without measurement, you're relying on intuition rather than evidence.

Why Metrics Matter

Business Case

Metrics help you:

  • Justify documentation investment
  • Prioritize improvement efforts
  • Demonstrate ROI to stakeholders
  • Make data-driven decisions

Quality Improvement

Measurement enables:

  • Identifying content gaps
  • Finding usability problems
  • Tracking improvement over time
  • Benchmarking against goals

Types of Metrics

Usage Metrics

How people interact with documentation:

Metric What It Measures
Page views Traffic volume
Unique visitors Audience reach
Time on page Engagement depth
Bounce rate Content relevance
Pages per session User exploration
Return visitors Documentation value

Search Metrics

What people look for:

Metric What It Measures
Search queries User intent
Click-through rate Result relevance
Zero-result searches Content gaps
Search exits Failed searches
Query refinements Findability issues

Quality Metrics

Content effectiveness:

Metric What It Measures
Feedback scores User satisfaction
Task completion Documentation effectiveness
Error rates Accuracy
Content freshness Maintenance status
Coverage Completeness

Business Impact Metrics

Value to the organization:

Metric What It Measures
Support ticket deflection Support cost reduction
Time to first value Onboarding efficiency
Feature adoption Documentation influence
Customer satisfaction Overall experience

Setting Up Measurement

Analytics Implementation

# Analytics Setup Checklist

## Basic Tracking
- [ ] Page view tracking
- [ ] Session tracking
- [ ] Search query capture
- [ ] Event tracking (downloads, clicks)

## Enhanced Tracking
- [ ] Scroll depth
- [ ] Time on page (accurate)
- [ ] Navigation paths
- [ ] Cross-domain tracking

## Custom Events
- [ ] Code copy events
- [ ] Feedback submissions
- [ ] External link clicks
- [ ] PDF downloads

Feedback Collection

Implement feedback mechanisms:

## Page-Level Feedback

"Was this page helpful?"
[Yes] [No]

If No: "What were you looking for?"
[Text field]

## Detailed Feedback

"How can we improve this page?"
- [ ] More detail needed
- [ ] Too much detail
- [ ] Outdated information
- [ ] Confusing explanation
- [ ] Missing example
- Other: [Text field]

Survey Design

## Documentation Survey Questions

1. How often do you use our documentation?
   ○ Daily
   ○ Weekly
   ○ Monthly
   ○ Rarely

2. How easy is it to find what you need? (1-5 scale)

3. How helpful is the documentation? (1-5 scale)

4. What would improve our documentation most?
   [Open text]

5. What topics need more documentation?
   [Open text]

Analyzing Metrics

Identifying Issues

High bounce rate + low time on page: Users aren't finding what they need.

High search exits: Search results don't match user intent.

High traffic + negative feedback: Content found but not helpful.

Zero-result searches: Missing content or labeling issues.

Trend Analysis

Track metrics over time:

## Monthly Dashboard

| Metric | Jan | Feb | Mar | Trend |
|--------|-----|-----|-----|-------|
| Unique visitors | 10K | 12K | 15K | ↑ +25% |
| Avg. time on page | 2:30 | 2:45 | 3:00 | ↑ +20% |
| Feedback score | 3.5 | 3.7 | 3.9 | ↑ +11% |
| Support tickets | 500 | 450 | 400 | ↓ -20% |

Segmentation

Break down by:

  • User type (new vs. returning)
  • Content type (tutorials vs. reference)
  • Entry source (search vs. direct)
  • Device type (desktop vs. mobile)

Key Performance Indicators

Define Success

Set clear targets:

## Documentation KPIs

### User Engagement
- Target: 75% of users find helpful
- Metric: Feedback score ≥ 4/5
- Status: Current 3.8/5

### Content Coverage
- Target: All features documented within release
- Metric: % features with documentation
- Status: 95% coverage

### Support Impact
- Target: Reduce support tickets by 20%
- Metric: Ticket volume for documented topics
- Status: 15% reduction achieved

### Search Effectiveness
- Target: 90% search success rate
- Metric: Searches with clicks / total searches
- Status: 85% success rate

Balanced Scorecard

Consider multiple dimensions:

Dimension Metric Target
Reach Monthly visitors 50,000
Engagement Avg. pages/session 3.5
Quality Feedback score 4.0/5
Impact Support deflection 25%

Reporting

Stakeholder Reports

Tailor reports to audience:

Executive Summary: - High-level metrics (reach, satisfaction) - Business impact (cost savings, adoption) - Key wins and challenges

Team Reports: - Detailed metrics by section - Content performance - Improvement opportunities

Technical Reports: - Search analytics - Navigation patterns - Technical issues

Report Template

# Documentation Monthly Report
# January 2024

## Executive Summary

Documentation traffic grew 15% while maintaining high
satisfaction scores. Support ticket volume decreased
10%, correlating with new troubleshooting content.

## Key Metrics

| Metric | This Month | Last Month | Change |
|--------|------------|------------|--------|
| Page views | 150,000 | 130,000 | +15% |
| Unique visitors | 45,000 | 40,000 | +12% |
| Feedback score | 4.1/5 | 4.0/5 | +2.5% |
| Search success | 88% | 85% | +3% |

## Highlights

- New API documentation launched (+5,000 views)
- Troubleshooting section reduced related tickets 25%
- Mobile traffic increased to 30% of total

## Challenges

- High bounce rate on installation pages (65%)
- "Deployment" searches have low success rate
- Version 2.0 documentation backlog

## Action Items

1. Revise installation guide structure
2. Add deployment troubleshooting content
3. Prioritize v2.0 documentation

## Next Month Focus

- Complete v2.0 migration guide
- Implement in-page search
- Launch user survey

Using Data for Improvement

Prioritization Framework

Use data to prioritize work:

## Content Priority Matrix

| Page | Traffic | Feedback | Business Impact | Priority |
|------|---------|----------|-----------------|----------|
| Installation | High | Low | High | 1 |
| API Reference | High | Medium | High | 2 |
| Advanced Config | Low | Low | Low | 4 |
| Troubleshooting | Medium | High | Medium | 3 |

A/B Testing

Test improvements:

## A/B Test: Installation Guide

**Hypothesis**: Adding screenshots will improve task completion.

**Metrics**:
- Time on page
- Next page (success indicator)
- Support tickets

**Results**:
- Version A (text only): 45% success
- Version B (with screenshots): 62% success

**Conclusion**: Implement screenshots across guides.

Summary

Effective documentation metrics:

  • Measure what matters to users and the business
  • Enable data-driven decisions
  • Demonstrate documentation value
  • Guide continuous improvement

Start with basic metrics and expand as you learn what drives improvement.