Remove Calibration Remove Scripts Remove Telecommunications
article thumbnail

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Agents can also send feedback directly to script authors to further improve processes.

article thumbnail

Transforming Service in the Telecom Industry: Why It’s Needed and How to Make It Happen

Up Your Service

Telecommunications companies used to be cash cows: massive, often government-linked monopolies that provided essential connectivity services and reliably churned out cash. Similarly, training telco employees to handle all service requests with standard scripts and procedures is a recipe for customer and employee frustration.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Contact Center Quality Assurance: Best Practices Guide

Outsource Consultants

Objective criteria might measure adherence to scripts or accuracy of information provided, while subjective criteria could assess tone of voice or rapport-building skills. A telecommunications company implemented a detailed scorecard that included metrics such as empathy, problem-solving skills, and compliance adherence.

article thumbnail

Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning

Customer churn is a problem faced by a wide range of companies, from telecommunications to banking, where customers are typically lost to competitors. Note that the probability returned by this model has not been calibrated. CalibratedClassifierCV from Scikit-learn can be used to calibrate a model.

article thumbnail

How to Prepare for CMS Test Call Season

CSM Magazine

Train teams to recognize the signs that a call is actually a test call—for example, overly scripted language or formulaic questions. Furnish agents with informational scripts. They should expect—and be willing—to take part in regular calibration sessions to review any calls that failed. Collect and share past questions.