Your QA Scores Look Great. So Why Isn’t the Customer Experience Improving?
A 2025 Psychometric Call Center Quality Audit Case Study
A new BPA Quality psychometric audit uncovers what high QA scores miss, and what it is costing your contact center.
Beyond the Score – Call Center Quality Audit Case Study
Calibrations happen. Coaching happens. Scores stay high quarter after quarter. On paper, the QA program looks like it is working.
But for a lot of contact center leaders, a familiar doubt remains underneath the dashboard: is any of this moving the needle on the customer experience, or is the team simply getting good at measuring itself?
Our client had an established QA program: regular calibrations, dedicated quality raters, coaching sessions, and CSAT surveys. QA scores were consistently high across all teams. On the surface, the program appeared to be functioning well.
Yet leadership had limited confidence that these activities were improving the customer experience or driving measurable business outcomes. BPA Quality was engaged to conduct a comprehensive Quality Impact Index audit, evaluating six core pillars: Process Documentation, Coaching and Development, Quality Processes, Evaluation Scorecard, Voice of the Customer, and Training. A comparative analysis against a prior-year audit of contact center performance metrics was conducted to assess year-over-year progress.
Psychometric Analysis Across Multiple Data Streams
BPA Quality conducted a call center quality assurance metrics audit evaluating the client’s program across six pillars: Process Documentation, Coaching and Development, Quality Processes, Evaluation Scorecard, Voice of the Customer, and Training.
The methodology combined agent and supervisor interviews, live and recorded call monitoring, coaching session observations, training material review, and statistical analysis of thousands of QA, CSAT, and operational data points. A new customer satisfaction survey was administered as part of the engagement, and findings were benchmarked against a prior year audit to assess progress over time.
When High Scores Do Not Mean High Performance
Six call center quality metrics surfaced from the analysis, each with direct implications for how quality is measured, coached, and reported.
QA evaluation frequency had virtually no relationship to agent performance. QA scores and customer satisfaction showed only a weak correlation. The behaviors customers value most, including issue resolution, ease of process, and clarity of explanation, were not captured in the existing scorecard. Coaching activity was concentrated in one team and could not be connected to measurable performance improvements. Rater score variation across 14 evaluators was compromising data integrity. And despite these structural gaps, behavioral improvement was measurable from the prior year audit where scientific design was in place.
Download the full case study for statistical findings, correlation data, and detailed analysis.
A Defensible Baseline for Quality That Improves the Customer Experience
The QII audit gave our client a scientifically grounded understanding of where quality investments were producing outcomes and where they were not.
Leadership received an evidence based view of which behaviors drive customer satisfaction, where coaching and calibration gaps exist, and how performance has shifted since the prior audit. The engagement moved the client’s quality strategy from measuring activity volume to measuring measurable outcomes, with a clear improvement roadmap grounded in psychometric rigor.
