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Free tools, in-depth guides, glossary terms, and comparisons to help you build and optimize your customer support operation.

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Guides and best practices on AI support, operations, and growth.

Glossary

Learn key customer support terms, metrics, and concepts.

AI Customer Support

AI customer support is the use of artificial intelligence technologies — including natural language processing, machine learning, and large language models — to automatically handle customer inquiries, resolve issues, and provide assistance without requiring a human agent.

Ticket Deflection

Ticket deflection is the practice of resolving customer inquiries through self-service channels — such as AI chatbots, knowledge bases, or help centers — before they become support tickets that require human agent involvement.

First Response Time

First response time (FRT) is the amount of time between when a customer submits a support request and when they receive the first meaningful reply from a support agent or AI system, excluding automated acknowledgment messages.

CSAT Score

CSAT (Customer Satisfaction) score is a metric that measures how satisfied customers are with a specific interaction, product, or service, typically collected through a post-interaction survey asking customers to rate their experience on a scale of 1-5 or 1-10.

Knowledge Base

A knowledge base is a centralized, searchable repository of information — including articles, FAQs, guides, and documentation — that enables customers to find answers to their questions independently and powers AI systems to generate accurate responses.

RAG (Retrieval-Augmented Generation)

RAG (Retrieval-Augmented Generation) is an AI architecture that combines information retrieval from a knowledge source with text generation from a large language model, enabling the AI to produce accurate, contextually grounded responses based on specific, up-to-date information rather than relying solely on its training data.

Comparisons

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