Conversation logs

Conversation logs contain detailed records of every interaction between users and the AI-agent in chronological order. These logs include user inputs, AI-agent responses, timestamps, and any contextual data relevant to the interaction.

These logs provide a complete history of conversations, helping AI-agent developers to understand how the AI-agent is performing, identify issues, and make improvements to enhance the user experience.

By default, you can view chats from the past 24 hours. Logs are retained for six months; after this period, they are archived.

Key benefits of conversation logs:

• Monitoring and analysis: You can track the performance of the AI-agent and analyze user interactions to identify issues, understand user behavior, and pinpoint areas for improvement.
• Troubleshooting: By looking at these logs, you can see which conversations went wrong and understand why users might not be engaging as expected, allowing you to make necessary improvements.

note

The names in conversation logs cannot be changed or mapped to a user. The platform displays random names in order to maintain end user anonymity.

Access Conversation logs

To access the conversation logs:

• Go to Analyze > Conversation logs.

  

AI-agent session

A session refers to a continuous interaction between a user and the AI-agent within a specific timeframe. It begins when the user starts interacting with the AI-agent and ends when the interaction is concluded, either by the user leaving or the session timing out.

Each user is identified by a unique ID (UID), and a conversation log is generated for each UID, capturing the entire context of the interaction. Some logs retain up to 5 days of conversation history.

For different applications, the session duration varies: for web apps and WhatsApp, sessions last for 24 hours.

Filter conversations

You can use filters to extract relevant and meaningful information from a large volume of conversations. Filters help you quickly identify important interactions, better understand user queries, and troubleshoot problems.

To filter chat logs, follow these steps:

1. Click Filters on the top right corner.

   

2. Set the filters based on your preferences. For detailed information on each filter criterion, refer to the table below:

   Filter	Description
   Date	Explore conversations within a chosen date range by using the calendar selection.
   Source	Focus on conversations from a particular channel, such as Skype, WhatsApp, Facebook, etc. Simply pick the desired source from the dropdown menu.
   Tags	Delve into conversations with specific tags, automatically assigned based on configured rules. Select preferred tags from the list provided.
   Flagged Conversation	Choose to view either flagged or unflagged conversations, aiding in prioritization.
   Labels	Pinpoint conversations with specific labels, streamlining identification.
   Flows	Filter conversations associated with a particular journey, even enabling step and drop-off specific filtering.
   Nodes	Refine conversations containing particular nodes; for example, view all chats with provided phone numbers. Multi-node selection available. Only Prompt nodes will be displayed.

   

3. Click Apply filter after setting the criteria.

Label conversations

Adding labels to conversation logs helps organize and categorize interactions. Labels make it easy to identify and track specific types of conversations, such as complaints, inquiries, or feedback, which allows you to identify the type of conversation easily.

To label a conversation, follow these steps:

1. Click on a conversation log.

   

2. Under User deatils, add a label to the conversation.

   

3. Go to Filters > Labels > select the label from the drop-down > Apply filter.

   

• You can view the log with the selected label.

  

Flag conversations

By flagging a conversation, you can easily mark it for review, follow-up, or escalation. This ensures that critical issues, such as unresolved complaints or urgent inquiries, are promptly addressed. Flagging also helps organize conversations for further analysis and improves the management of user interactions.

To flag a conversation, follow these steps:

1. Go to the desired conversation and click the Flag icon on the top right corner.

   

2. To view your marked conversations, go to Filters > Flagged Conversation > Apply filter.

   

Auto-identification of conversation issues in logs

The AI-agent can automatically identify and tag each conversations that might have involved issues or areas for improvement. For example, it may flag conversations with unidentified responses, providing insights into how to enhance user interactions and the overall performance of the AI-agent.

To view auto-generated tags, follow these steps:

1. Check the Tags column to see the status of the tags.

   

2. Go to the preferred chat and check the conversations.

   

3. Go to the respective flow in Studio and make the necessary changes.

4. Test the AI-agent to see if the changes work.

Debug conversations

To debug and resolve issues in a conversation, you can enable logs for that specific interaction. This helps you gain a clearer understanding of how to address the problem and fix it.

To enable logs, follow these steps:

1. Go to the conversation log and enable the toggle button to enable the logs for that conversation.

   

2. Click on Logs.

   

3. Click Debugger icon to get the logs for any user input and trace the sequence of actions the AI-agent took in response to specific user inputs, making it easier to troubleshoot issues and improve AI-agent performance.

   

Share conversation logs

You can share the conversation logs with your team members to review and discuss specific interactions, which helps in identifying problems and finding solutions.

1. Go to the conversation log and copy the chat URL.

   

• Share the URL with the specific user or team members.