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How to Write an After-Call Survey Script

Fonolo

Every call center knows customer feedback is precious. An after-call survey is a series of questions requesting customer feedback right after an interaction. You might have a carefully crafted questionnaire or script for your after-call survey. Sample After-Call Survey Script. Use this handy sample script as a guide!

Scripts 138
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The Problem with Proactive Documentation: Flipping the Script With KCS and Guru

Guru

you think, "Our documentation has never solved our customer’s issues. Almost immediately, however, you start getting feedback from your team: “This didn’t help me at all.” I’ll turn things around!". You step away from solving tickets, and spend three months re-tooling and re-crafting every knowledge article.

Scripts 84
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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Analytics 125
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International Contact Centre Operations Tips & Best Practices

Callminer

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. Leverage a quality monitoring program for vital feedback.

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Small Things That Have a Dramatic Impact on Your Customer’s Experience

Beyond Philosophy

We discovered that after placing an order, the insurance company agent would tell the customers, “Your policy documents should be with you within five days.” We had the agents say instead, “Your policy documents will be with you within five days.” ” It was the word “should.”

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Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

AWS Machine Learning

BERT is pre-trained on masking random words in a sentence; in contrast, during Pegasus’s pre-training, sentences are masked from an input document. The model then generates the missing sentences as a single output sequence using all the unmasked sentences as context, creating an executive summary of the document as a result.

Scripts 101
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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.