23rd December 2021

When it comes to quality management, most contact centres today have what can be considered a basic program, with a lot of manual processes.
At PSCU, the largest credit union service organization in the United States, a partnership with NICE enabled the organization to fast-track its quality automation and mature its quality program in short order.
PSCU’s quality program has undergone extensive change over the last year. When it started its journey toward quality automation, PSCU had a very basic quality program with manual, labor-intensive processes. The quality team selected calls to score solely based on average duration, and there was no way to include the agent’s voice in the coaching process.
Calibrations took at least three hours of administrative work alone. Evaluation appeals—which numbered in the hundreds each month—were done in Microsoft Word docs, submitted via email, and tracked in Excel. Reporting capabilities were also minimal, with quality reports limited to quality scores.
Today, after implementing the NICE Quality Central and Analytics solutions, PSCU has made significant strides along its path to contact centre quality automation. Improvements include the ability to:
When that data was combined with agent-specific data from workforce management systems, PSCU was able to automate its quality assignment process right at the start, saving a significant amount of time that was formerly spent assigning agents and finding calls to score.
“It was quite interesting to be able to utilize data and tools that we actually already had in place that were being underutilized, so we tapped into our telephone system and our workforce system to pull in more specific details on these actual calls, who they were coming in through,” said Stephanie Lundstedt, Manager of Quality Assurance at PSCU.
PSCU took several important steps to ensure that the adoption of the NICE Quality Central and Analytics solutions would go smoothly (watch the third video in our series to learn about the key steps in change management for PSCU). Lundstedt and her team partnered with NICE to:
These changes enabled PSCU to move up the maturity model from Basic to Operating, with product gains as PSCU automated its program. (Learn more about PSCU’s maturity model progression in our fourth video.)
“Where we’re headed is Performing,” Lundstedt said. “That’s where you can get both product and process gains with a metric-driven quality program.”
After the project wrapped up, teams from PSCU and NICE documented what went well. Among the key learnings: