JustCall

JANUARY 19, 2023

Maintained Service Level Targets Whether your team is working remotely or not, it is important to optimize your call center to meet the requirement of your customers to offer them an exclusive service experience. This is where call center quality management can help.

Best practices 52

Best practices Call Center call center workforce Abandon rate 52

Enghouse Interactive

JUNE 17, 2020

Properly configured, IVRs have been shown to reduce call abandon rates by upwards of 50%. Virtual Assistants) complement the IVR and have become a powerful self-service tool as well. When properly set up and managed, a complete and comprehensive Knowledge Base can drastically improve overall service levels.

Interactive Voice Response 52

Interactive Voice Response Self service Abandon rate Contact Center 52

Playvox

JUNE 22, 2023

Customer Satisfaction (CSAT) Perhaps the most common of CX metrics, CSAT is often in the form of a customer survey on a four- or five-point scale that indicates how satisfied a customer or group of customers is with a specific product, transaction, or interaction with a company and its service level.

Call Center 52

Call Center Metrics Schedule adherence Average Handle Time 52

SharpenCX

OCTOBER 22, 2019

If you’re not making metrics and real-time data clear and digestible for your team, you’re putting your customer service experience at risk. To help, we’re sharing three example dashboards you can use with agents and team leads to fuel better service levels. Customer Satisfaction Dashboard.

Metrics 64

Metrics Call Center Abandon rate Customer Service 64

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To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

Contact Center

Balto

NOVEMBER 28, 2023

Call center quality management can present numerous challenges for your business. More often than not, you’ll find yourself dealing with one of the following two issues: a lack of data for accurate quality management, or an abundance of data with limited ability to transform it into useful insights.

Quality management 52

Quality management Call Center Management Contact Center 52