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Best Practices for Auditing Calls to Maintain High QA Standards

TeleDirect

Performance Feedback and Coaching Once audits are completed, share results with agents to provide constructive feedback. 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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Putting Humanity in Contact Centers

Customer Relationship Metrics

The reasons behind millennials’ desire to enhance their skills and to further their careers is a great opportunity when a constructive process exists. Organizations must create performance management and employee development programs that use customer relationship metrics to drive their service delivery. In the Early Years.

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How Meesho built a generalized feed ranker using Amazon SageMaker inference

AWS Machine Learning

These valuable features are used to construct ranking models. We kept track of various metrics to evaluate the performance of the model—the most important ones being area under the ROC curve and area under the precision recall curve. We used a time sampling strategy to create training, validation, and test datasets for model training.

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Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS

AWS Machine Learning

In this post, we explore leading approaches for evaluating summarization accuracy objectively, including ROUGE metrics, METEOR, and BERTScore. These metrics focus on assessing the overlap between the content of machine-generated and human-crafted summaries by analyzing n-grams, which are groups of words or tokens.

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

We also share the key technical challenges that were solved during construction of the Face-off Probability model. The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics.

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Call Center optimization: Tools and best practices to increase performance

NobelBiz

Performance Metrics and KPIs: Monitoring call center performance is essential. Metrics include First Call Resolution , Customer Satisfaction Score , and Call Handling Time 1. First Call Resolution (FCR) : This metric measures the ability of agents to resolve customer queries or issues on the first call.

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Contact Center Quality Assurance: Best Practices Guide

Outsource Consultants

Essential Components of a Winning QA Program A comprehensive QA program includes several key elements: Clear Standards and Metrics: Define quality for your organization. Actionable Feedback Loops: Provide timely, constructive feedback to agents. Consider both objective and subjective metrics.