Operations Guide

AI Quality Threshold Calibration Framework for Operations Teams

Thresholds drift fast when calibration is untracked. This framework aligns quality ops, product, and engineering teams on baseline-driven calibration with fixed review cadence.

Implementation Steps

1. Collect baseline quality scores for each dimension with historical variance bands.
2. Set threshold adjustment triggers based on drift detection and user feedback correlation.
3. Track false-positive and false-negative rates per criterion with owner-assigned root cause.
4. Feed calibration outcomes into scoring framework updates and escalation policy refinement.

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