Context

Doc

Date

Changes

Released

1.0

8/24/2023

Initial Release

1.6.0

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What is Context Monitoring ?

Context Monitoring is a feature that enables the tracking, analysis, and management of contextual information within interactions between users and AI agents or bots. It involves capturing and utilizing contextual data to enhance the quality and relevance of responses provided by AI systems during conversations. Context Monitoring allows AI agents to maintain an understanding of the conversation's history, ensuring that interactions remain coherent and tailored to the user's needs.

Key functionality of the Monitoring Performance Chat feature include:

Performance Metrics: offers performance metrics that measure chat interactions, such as context value and distribution across agents and customers.

Agent and Deployment Analysis: Users can analyze the performance of individual AI agents or specific deployments. This analysis helps identify which agents or deployments are generating the most engagement and providing high-quality interactions.

Refined Data Exploration: offers filtering and search functionalities to focus on specific criteria, enabling nuanced analysis tailored to specific objectives.

Informed Decision-Making: By leveraging the insights and analysis provided, businesses can make informed decisions to refine AI strategies, enhance customer engagement, and elevate overall user experiences.

User Manual

The table's layout is designed to provide clear and organized information for easy analysis.customer context data within a comprehensive structured table for simplify interpretation

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Navigating to the Performance Section

Choose Monitoring Tab,direct your attention to the navigation options. Look for the "Monitoring" tab among the available choices.

Locate the sidebar on the left-hand side of the screen.

Click on the "context" option to access the monitoring performance context feature.

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Viewing Context Information

Access a table displaying customer interactions, including identity, related agent, deployment, context value, and total records.

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Display Table:

Identity: The identities of individuals involved in the chat interaction.

Related Agent: Displays the agent associated with each chat.

Deployment: Indicates the deployment in which the chat occurred.

Total Record: Presents the overall count of chat records meeting the current criteria.

Enable Context : choose context dropdown to enable or disable the display of context-specific data related to Context

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Applying Filters and Search

Refine table content by applying filters based on customer identity, agent, and app deployment. Use the search functionality to retrieve specific records.

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