Call Center Analytics

Driving Answer Rates to the Maximum, Unlocking Peak Call Center Performance

Working with one of our dev agency partners, we put the right data in place, and helped to transform both internal agent behavior and external customer perception.

Empty office workspace featuring laptops with headsets, ready for a productive day.

The Client

B2B Human Resources – Benefits and Healthcare

This HR services firm was growing quickly, handling benefits for some of the world’s largest tech companies. But when employees couldn’t consistently connect with call center agents, the consequences were steep: negative feedback, declining NPS scores, and lost business.


The Main challenge

No Call Data

The call center’s biggest problem wasn’t just low performance – it was invisibility.

While negative feedback and poor survey responses made the external consequences clear, there was no accessible call data to explain what was happening inside the system. When we implemented tracking, the true scope of the issue became clear: agent answer rates were just 26%, leaving about 2/3 of callers frustrated and underserved. With no visibility before our work, leadership had been unable to diagnose or address the root issues.


Secondary challenge

Human Behavior

Initial interviews with agents confirmed that they weren’t answering the phones

Interviews with agents revealed the issue wasn’t just operational – it was behavioral. Many newer, younger agents admitted they avoided answering live calls. Lacking confidence in their ability to handle complex requests on the spot, they preferred to let calls roll to voicemail. This allowed them to review the request first, research an answer, and then call back. While understandable, this practice created long delays for customers and reinforced the perception that the call center was unresponsive.

The SOlution

Gather and Operationalize Detailed Call Log Data

Custom Webex Integration

We developed a custom Python API integration to extract detailed call log data from the client’s Cisco Webex VOIP system and devices. This gave the organization, for the first time, a reliable source of truth about call volumes and answer rates.

Data Warehouse + Business Context

Next, we built a data warehouse that combined call logs with data from the client’s internal operational tools. By linking calls to specific agents, teams, managers, and clients, we created reporting that could finally show performance at every level of the organization.

Making the Data Actionable

Finally, we embedded these analytics directly into weekly operations meetings. By surfacing call answer rates and trends in front of managers and agents, the data became a driver of accountability and behavior change – leading to improvements in both answer rates and customer satisfaction.

The Results

The impact was immediate and measurable. At the company’s annual kickoff, the CEO unveiled the new call analytics dashboards we built – revealing a startling 26% call answer rate. The effect on behavior was dramatic: within a week of surfacing the data, answer rates jumped by 10%.

From there, continued use of the dashboards and targeted coaching eliminated the issue entirely. Key outcomes included:

  • Answer rate more than doubled: climbing from 26% to the theoretical maximum of 65%, based on agent availability.
  • Customer frustration disappeared: survey feedback about “difficulty reaching agents” dropped to zero.
  • NPS scores recovered: client satisfaction returned to prior healthy levels.
  • Lasting change embedded: new training programs established clear expectations and accountability for both existing and newly hired agents.

Smarter Data. Better Outcomes.

Let’s talk about how we can help your team perform at its peak.

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