How to QA Intercom Fin: A Practical Audit Framework
QA Intercom Fin with a five-check audit: resolution accuracy, handoff quality, source citation, policy compliance, and CSAT on Fin-handled threads. Includes a weekly sample workflow.
thoughts and learnings
Tagged: AI QA
How to Measure Whether Fin Is Actually Resolving Conversations
Measure Fin with resolution rate, Surveyed CSAT, handoff quality, and repeat contact. Compare Fin and teammates without blending unlike work.
AI's Job Stops at the Human Handoff
Two Supportman Live Chat guests, working in completely different corners of support tech, landed on the identical rule for where AI's job in support ends. A data leader and a support-tech VP, quoted side by side.
How AI Can Help Managers Coach Every Support Agent Without Generic Advice
Use AI to find repeated conversation patterns and prepare individualized coaching, while managers retain context, judgment, and responsibility.
AI Quality Assurance for Support: How to Calibrate the Judge
Automated support QA needs a custom rubric, human calibration set, attribute-level agreement checks, confidence thresholds, and an appeal process.
How to Validate Predicted CSAT Before You Use It
A practical guide to calibrating AI-predicted CSAT using customer ratings, error analysis, subgroup checks, confidence thresholds, and human review.
What Is 100% CSAT Coverage?
Learn how surveyed ratings and AI-predicted CSAT work together to create a satisfaction signal for every eligible support conversation.
Under two minutes to live, no IT ticket required.
Prefer us on Google