AI Resolutions Log

Overview

AI Resolutions Log report lets you see all inbound and outbound messages happening in AI Chat. This is a key tool for enhancing content.

For Accounts on the Upgraded Context LLM Platform or in the Upgrade Process

Unlock the power of this report to uncover end user inputs resulting in "no_response". These instances indicate when our AI Chat didn't find a suitable answer to a user query. By analyzing trends in "no_response" response name field, you gain valuable insights into requests that need attention. Create and refine new responses to enhance user confidence and satisfaction, driving better engagement and outcomes.

This report replaces the following reports:

NLP Input Response Analytics report
NLP traffic Log

Report Components

Tips

For Accounts on the Upgraded Context LLM Platform or in the Upgrade Process

Search by ''no_response'' Response Name to identify topics without a content. Use the Dashboard to create new responses.

For Accounts That Have Not Yet Started The Upgrade Process

Search for No Match intent. It means that the platform didn't identify the intent of a question and didn't respond to a user.

Filter by Intent Category to get a better understanding of a specific Category.
1. Ticketing
2. Communications
3. FB
4. Parking
5. Activities
6. Health
7. On-site
Monitor unique user interactions over time to identify patterns in engagement and tailor responses accordingly. Use unique identifiers to personalize interactions and track individual user journeys.
Filter by a conversation code to see a given conversation on a given date and time.
Determine which channels and pages are most effective for engaging users and driving conversions.
Categorize intents to better organize and analyze conversation data. Identify common themes and topics to optimize response strategies.
Track response performance metrics such as Response Name, Response Language, Content Type, and Content Group. Analyze which types of responses are most effective in driving desired outcomes and adjust content strategies accordingly.
Review specific message content to understand user inquiries, concerns, or feedback. Use sentiment analysis and keyword tracking to identify trends and address common user issues proactively.

Last updated 3 months ago

Tips

For Accounts on the Upgraded Context LLM Platform or in the Upgrade Process

Search by ''no_response'' Response Name to identify topics without a content. Use the Dashboard to create new responses.

For Accounts That Have Not Yet Started The Upgrade Process

Search for No Match intent. It means that the platform didn't identify the intent of a question and didn't respond to a user.

Filter by Intent Category to get a better understanding of a specific Category.

Ticketing
Communications
FB
Parking
Activities
Health
On-site

Monitor unique user interactions over time to identify patterns in engagement and tailor responses accordingly. Use unique identifiers to personalize interactions and track individual user journeys.

Filter by a conversation code to see a given conversation on a given date and time.

Determine which channels and pages are most effective for engaging users and driving conversions.

Categorize intents to better organize and analyze conversation data. Identify common themes and topics to optimize response strategies.

Track response performance metrics such as Response Name, Response Language, Content Type, and Content Group. Analyze which types of responses are most effective in driving desired outcomes and adjust content strategies accordingly.

Review specific message content to understand user inquiries, concerns, or feedback. Use sentiment analysis and keyword tracking to identify trends and address common user issues proactively.