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How Can Contact Center Leaders Avoid the 'Mechanical' Approach to Metrics, and Become More Customer Experience Focused?

Call Center Weekly

By Dan MacDougall Contact center metrics are developed to measure operational performance (e.g. How do we then collect metrics on customer experience? I eventually moved back into full-time customer support in 2000 when I joined Automation Support as a Call Center Agent.

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

Callminer

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Jeff Greenfield is the co-founder and chief operating officer of C3 Metrics.

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The Supervisor Cadence – Does It Drive the Wrong Behavior?

CCNG

Because the culture hasn’t been re-engineered for the remote environment, the agent doesn’t feel emotionally engaged and is lonely. Because there hasn’t been any real coaching or training from the supervisor, the performance metric doesn’t move in a positive direction. What could be wrong?”

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Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning

Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

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Complete Guide to E-commerce Contact Center Success with HoduSoft

Hodusoft

The functionality also ensures that customers reach the right support team quickly and get the help they need without unnecessary delays or transfers. It can range from order issues, technical support, product information, returns, and more. Take Your Customer Support to the Next Level with HoduSoft Ask for a Free demo!

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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

In addition, when defining a PyTorch Estimator, you can use metric definitions to monitor the learning metrics generated while the model is being trained with Amazon CloudWatch. Gonsoo Moon is an AWS AI/ML Specialist Solutions Architect and provides AI/ML technical support.

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Help Scout’s Step-By-Step Remote Hiring Process

Help Scout

The project itself runs the gamut depending on the role — some might be presentations, others might be role playing or demos: Engineering projects are all take-home coding exercises that are similar in language and project setup to what they might be working on on a daily basis.