Today, we’re releasing QA Calibrations to enable Quality Assurance teams to refine the way interactions are scored en masse. 

Typical QA flows assign reviewers a sampling of customer interactions to review for quality and process adherence every day. Reviewers spot-check the quality of conversation, tone of the agent, and the way interactions are resolved. 

Each month, a productive team may review 1-6% of total interactions. However, this means that 94-99% of interactions are never reviewed, often leaving teams in the dark on critical trends, coaching moments, and quality issues.

Solidroad changes that by analyzing 100% of human and AI agent interactions, automatically with AI-powered Auto QA.

Now, we’re taking that precision one step further.

QA that learns from the best

With Auto QA, reviews that were done manually are now done, en masse, in seconds – so that teams can identify improvement areas and spot issues across 100% of customer interactions instead of just a fraction of them. 

And with QA Calibrations, now Quality Assurance teams can continuously refine what best-in-class reviewing looks like for their org. 

Calibrations translate human QA instincts into AI understanding, bridging the gap between tribal knowledge and scalable quality. This means that Auto QA doesn’t just review – it learns from your best reviewers.