Self-Service Optimizer
Pinpoints exactly where customers fail in your help center — and tells your CS team what to write, rewrite, or restructure.
The problem
Most help-center optimization is gut-feel. Teams know deflection is below where it should be, but they cannot point at the specific articles bleeding traffic to "Contact Us." A self-service optimizer instruments the help center properly: tracks failed searches (queries with zero results or zero clicks), articles abandoned mid-read (high scroll-start, low scroll-completion), articles with high contact-us click-through (the customer read it and gave up), and search-terms-to-ticket-creation conversions. It then ranks the fix list by ARR-weighted ticket volume, recommends rewrite / new-article / restructure, and feeds the queue into the KB Auto-Updater. AI-deflection rate finally has a closed-loop measurement.
Help-center deflection rate + ticket avoidance
8-15pp deflection lift in 90 days; ~6-12% CS-headcount savings per 1pp deflection on volume-driven teams
Gartner Customer Service Self-Service Index 2024; Forrester Self-Service Study 2024
Integrates with
How it works
Agent · Self-Service Optimizer
·Help center analytics scan
Integrates with
Related agents