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AI Analysis Tab
Cynthia Tsai avatar
Written by Cynthia Tsai
Updated over 10 months ago

The AI Analysis Tab is designed to extract meaningful insights from conversations. It provides a comprehensive overview of each conversation, complete with custom tags, sentiments, resolution, intent, generated tags, streams, and custom questions. This multifaceted approach ensures a holistic understanding of the dialogue, enabling Users to drive strategic decisions to improve service delivery and customer engagement.

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Key Features

Overview - gives you a quick summary of a conversation so you can understand the main points without reading everything.

Custom Tags - labels that categorize conversations based on defined criteria, enabling the identification and tracking of specific themes or topics within dialogues.

Sentiment- Analyzes emotional tones in conversations, utilizing Agent and Customer Sentiment analysis to classify sentiments as Positive, Neutral, or Negative, enabling businesses to improve customer interactions and responsiveness.

Resolution- Categorizes conversations as either 'resolved' or 'not resolved,' customizing the definition of 'Resolution' to match your specific business requirements.

Intents- Identify and tag the primary purpose of each conversation, providing valuable insights for businesses.

Generated Tags- Labels that are automatically assigned by the LLM detected themes and keywords from the conversation.

Streams- Allows Users to see which Streams, Themes, and Sub-themes a specific conversation applies.

Custom Questions- Enables users to ask customized open-ended questions related to a specific conversation, allowing for tailored prompts and responses, such as inquiring about product feedback or competitor mentions.

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