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Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance

Hodusoft

Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance Whether you are an entrepreneur or a professional in the contact center industry or any other sector, you know that implementing best practices can enhance performance by leaps and bounds and drive success. They create them.”

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics.

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International Contact Centre Operations Tips & Best Practices

Callminer

Use of recorded calls where similar issues were handled adeptly are particularly effective here.” – 5 Call Center Training Best Practices , CallMiner; Twitter: @CallMiner. Agents must know how to be right without telling callers they are wrong. “How much time does it take to answer an inquiry (e.g.,

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Survey Design – Best Practices

Lumoa

Here we’ll discuss some best practices for designing effective surveys – everything from creating questions that elicit actionable responses, to logic-checking your data to ensure accuracy. Survey Design Best Practices. If you do this, it’s impossible to follow the benchmarks.

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Call Center Metrics: Examples, Tips & Best Practices

Callminer

Call on experienced managers for guidance in setting up benchmarks. “Experienced call center managers are helpful in setting up the initial performance benchmarks for a new outbound call center program. These benchmarks are, at first, estimated based on the past performance of similar outbound call center projects.

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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent.

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What is Average Handle Time? Challenges, Examples, and Best Practices for Improving AHT Copy

Callminer

Ultimately, AHT is not a success metric – rushing agents to close tickets, rather than resolve issues, would hasten your AHT but would not make for happy customers – but it is an important metric for calculating call center levels, assessing efficiency for the call center overall or for specific agents, and establishing performance benchmarks.