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Engaging owners through feedback tools

Customercount

View or download the presentation by Lisa Kobek from CustomerCount® on why resorts should be focusing on owner engagement with feedback tools at this difficult time for the hospitality sector. The post Engaging owners through feedback tools appeared first on CustomerCount.

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Guest Post: The Power of Visualizing and Sharing Customer Service Feedback Data

ShepHyken

He writes about visualizing customer feedback in order to motivate your business to succeed. You can read just as many articles about the importance of customer feedback in operating your business successfully. Of course, it’s important to take into account the kind of feedback you’re asking for.

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Guest Blog: Customer Feedback Loops – 3 Examples & Strategies

ShepHyken

This week we feature an article by Agi Marx who shares 3 ways to close the customer feedback loop to prevent churn and increase revenue. – Shep Hyken. What is the customer feedback loop? Customer feedback loop is the practice of responding to customers meaningfully when they leave feedback.

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35 post-event survey questions to ask for event feedback

delighted

Even negative feedback can alert you to what needs to change in order to make your events more successful. A post-event survey is a questionnaire intended to collect valuable feedback from attendees following an event. Typically, post-event surveys ask about the event’s location, speakers, presentations, catering options, and more.

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Top Techniques for Coaching Your Contact Center Agents

Speaker: Francoise Tourniaire - Founder of FT Works, Omid Razavi - Chief Advocacy Officer at SupportLogic, and Gregory Walker - Senior Product Manager at SupportLogic

At the same time, manual coaching techniques are time-intensive and deliver feedback on a handful of cases, resulting in a high attrition rate and poor customer experience.

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning

The Amazon D&C team implemented the solution in a pilot for Amazon engineers and collected user feedback. In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning.

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning

Extracting valuable insights from customer feedback presents several significant challenges. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond promptly and address customer concerns. Large language models (LLMs) have transformed the way we engage with and process natural language.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.