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The Efficiency Equation: Tackling Hidden Costs in Contact Centers

CCNG

With the backing of senior leadership, the Quality Team is responsible not only for the clarity of these guidelines but also for the training and calibration of all team leaders to meet these standards. QA teams should support the contact center by defining, documenting, standardizing, and simplifying all performance expectations.

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Guest Blog: How to Build a Comprehensive Onboarding Module for Customer Service Training

ShepHyken

This week we feature an article by Anand Srinivasan who writes about how important it is to have a properly trained customer service team to ensure business success. – Shep Hyken. In other words, the success of a business is directly impacted by how well the customer service team is trained. Building an onboarding module.

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Building Your Best Culture in 2019

CX Accelerator

You might take some ideas from what they did: All leaders attended Situational Leadership II training. I've attended it as well, and found it to be one of the most practical and useful training programs for developing people.All individual contributors attended Situational Self-Leadership training.

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Six Common Mistakes Almost Everyone Makes In Quality Monitoring In Contact Centers

Myra Golden Media

Skipping Calibration. Calibration keeps everyone who monitors and coaches consistent and fair. To calibrate is to gain consensus, as a team, on what a quality contact (phone call, email, or chat) sounds like, looks like, and feels like so that every evaluator is rating the calls/contacts the same way.

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Best Practices for Auditing Calls to Maintain High QA Standards

TeleDirect

Identifying training and development opportunities for agents. Use data to develop targeted training and refine call center processes. Conduct Calibration Sessions for Accuracy Calibration sessions ensure consistency across QA teams. Improved Agent Performance: Provide targeted training and constructive feedback.

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AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?

AWS Machine Learning

We looked at the differences between the virtual and the physical world and how we could adapt the simulator and the training approach to overcome the differences. Early in training, it will frequently be in odd positions, almost going off-track, and it remembers how to get out of these situations. How hard can it be to go straight?

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Beyond Data: The Complete Guide to Conversation Intelligence for Customer Experience Excellence

BlueOcean

By understanding these patterns, we can implement proactive solutions whether that’s adjusting self-service options, modifying agent training, or recommending process changes. The magic comes in fine-tuning the pre-packaged model, training it to be specific to the company brand.