Skip to main content

Analytics

The Knowledge Base Analytics dashboard provides insights into how your content is performing, what users are searching for, and how effectively articles are deflecting support tickets.

Access analytics from Knowledge Base > Analytics.

Permission Required

To view analytics, you need the View Knowledge Base permission.


Dashboard Overview

The Analytics dashboard displays key metrics and trends:

Summary Cards

MetricDescription
Total ViewsAll article views in the selected period
Unique ViewersDistinct users/sessions
Total SearchesSearch queries performed
Deflection RatePercentage of ticket submissions where KB was viewed first

Time Range

Use the date picker to analyze specific periods:

  • Last 7 Days (default)
  • Last 30 Days
  • Last 90 Days
  • Custom Range

Article Performance

Top Articles

View your most-viewed articles ranked by views:

ColumnDescription
ArticleTitle with link to article
CategoryParent category
ViewsTotal views in period
Helpful %Percentage of positive feedback

Click any article to view detailed analytics.

Low-Performing Articles

Identify articles that may need improvement:

  • Articles with high view counts but low helpful ratings
  • Articles with many views but quick exits
  • Published articles with zero views

Search Analytics

Search Log

The search log shows all queries users have made:

ColumnDescription
QueryThe search term(s) used
ResultsNumber of articles returned
SourceWhere search occurred (Portal, Admin, Ticket Form)
ClickedWhich result was clicked (if any)
DateWhen the search happened

See what users are searching for most frequently:

  • Grouped by similar queries
  • Shows total search count
  • Indicates average results returned

Failed Searches

Identify searches that returned zero results:

  • Potential content gaps
  • Common misspellings to add as tags
  • Topics users need help with
Content Gap Analysis

Review failed searches weekly to identify new article topics. If multiple users search for "chromebook offline" and find nothing, consider creating an article about using Chromebooks offline.


Ticket Deflection

Track how effectively the Knowledge Base reduces support tickets.

Deflection Metrics

MetricDescription
Suggestions ShownTimes KB articles appeared during ticket creation
Articles ViewedHow many suggested articles were clicked
Tickets DeflectedUsers who viewed articles and didn't submit ticket
Tickets SubmittedUsers who viewed articles but still submitted
Deflection RateDeflected / (Deflected + Submitted) × 100%

Article Effectiveness

See which articles are best at resolving issues:

  • Most-clicked suggestions
  • Highest deflection rate per article
  • Articles linked to closed tickets

View Analytics

Views Over Time

A chart showing view trends over your selected period:

  • Total views per day/week
  • Compare to previous period
  • Identify spikes (often after announcements or issues)

Views by Source

Understand where your traffic comes from:

SourceDescription
DirectDirect navigation to KB
SearchClicked from search results
SuggestionClicked from ticket form suggestions
LinkClicked from another article
ExternalFrom external referrer

Geographic Data

If available, view breakdown by:

  • Country/region
  • User type (student, parent, staff)

Feedback Analysis

Helpfulness Scores

Review aggregate feedback data:

  • Positive Rate: Articles rated helpful / Total ratings
  • Articles with Feedback: How many articles have received votes
  • Trending: Which articles are getting more/less positive feedback

Articles Needing Attention

Automatically flagged articles:

  • More than 5 ratings with < 50% helpful
  • High views but low helpful percentage
  • Recent drop in positive feedback

Exporting Data

Export analytics data for external analysis:

  1. Click Export on any data table
  2. Choose format: CSV or Excel
  3. Download includes all data in current date range

Exportable reports:

  • Article performance
  • Search log
  • View history
  • Deflection statistics

Understanding Metrics

What "View" Means

A view is counted when:

  • An article page is fully loaded
  • The same user viewing again after 30 minutes counts as new view
  • Admin preview views are not counted
  • Bot traffic is filtered out

What "Deflection" Means

Deflection occurs when a user:

  1. Starts creating a support ticket
  2. Sees KB article suggestions
  3. Clicks to read an article
  4. Does NOT submit the ticket (within that session)

If the user submits a ticket anyway, it's tracked as "viewed but submitted."

Session Tracking

Analytics use session-based tracking:

  • Anonymous visitors tracked by session ID
  • Logged-in users tracked by account
  • Sessions expire after 30 minutes of inactivity

Acting on Insights

Improve Low-Rated Content

When articles have poor feedback:

  1. Review the content for accuracy
  2. Check if the title matches the content
  3. Add more detail or steps
  4. Include screenshots or examples
  5. Consider splitting long articles

Fill Content Gaps

When searches return no results:

  1. Note common failed search terms
  2. Create articles addressing these topics
  3. Add failed terms as tags to related articles
  4. Create redirects if alternate terminology exists

Optimize Deflection

To improve ticket deflection:

  1. Ensure article titles match how users describe problems
  2. Feature common troubleshooting articles
  3. Add relevant tags for better search matching
  4. Update suggestion algorithm weights if needed

Best Practices

Regular Review Cadence

  • Weekly: Check failed searches, low-rated articles
  • Monthly: Review overall trends, deflection rates
  • Quarterly: Full content audit based on analytics

Setting Goals

Consider setting targets:

  • Minimum deflection rate (e.g., 15%)
  • Maximum failed search rate (e.g., < 10%)
  • Minimum helpful rating (e.g., > 70% positive)

Sharing Insights

Use analytics to inform content strategy:

  • Share popular searches with your team
  • Report deflection savings to leadership
  • Use feedback to prioritize article improvements

Related articles

Loading…