Knowledge Base Gap Finder

The Challenge

Support teams don't know which documentation is missing until customers ask. Identifying gaps requires analyzing ticket patterns — work that rarely gets prioritized.

The AI Desk Solution

AI Desk analyzes support tickets to find topics that should be documented but aren't.

The Workflow

Step 1: Ticket Analysis

Scope: Last 90 days of support tickets
Sources: Zendesk tickets, KB articles, search logs

Step 2: Gap Detection

• Find topics without documentation
• Identify outdated articles
• Analyze search failures

Step 3: Gap Report

📊 Knowledge Base Gap Analysis

PERIOD: Last 90 days
TICKETS ANALYZED: 1,247
SELF-SERVICE RATE: 62% (target: 75%)

HIGH-PRIORITY GAPS (No documentation)

SSO Configuration Troubleshooting
├── Tickets: 87
├── Avg resolution: 2.3 hours
├── Customer frustration: High
└── Recommended: Step-by-step guide

API Rate Limit Best Practices  
├── Tickets: 64
├── Avg resolution: 1.8 hours
├── Pattern: Same questions repeated
└── Recommended: FAQ + code samples

Data Export Formats
├── Tickets: 52
├── Avg resolution: 45 min
├── Note: Quick wins available
└── Recommended: Format comparison table

OUTDATED DOCUMENTATION

Integration Setup Guide
├── Last updated: 8 months ago
├── Related tickets: 34
├── Issue: Screenshots outdated
└── Action: Update for new UI

FAILED SEARCHES (No results)
├── "bulk import" - 156 searches
├── "webhook retry" - 89 searches
├── "custom fields api" - 67 searches

IMPACT PROJECTION
If gaps filled: +13% self-service rate
Ticket reduction: ~165 tickets/month

Value Proposition

• Time Saved: 3 hours of analysis
• Higher Deflection: More self-service
• Better CX: Customers find answers