Amazon Q Business conversation log query examples

Query for all the feedback type logs.

filter log_type = "Feedback"

Query for all the chat type logs.

filter log_type = "VendedAnalyticsChat"

Query for chat logs related to particular conversation.

filter conversation_id = <conversation_id>

Query for chat logs where customer message with certain pattern.

filter customer_message like /pattern/

Query for chat logs where system response message with certain pattern.

filter system_message like /pattern/

Query for chat logs where system not able to provide answer.

filter system_message like /Sorry, I could not find relevant information to complete your request./

Query for chat logs where system not able to provide answer.

filter output_metrics_is_message_with_no_answer = 1

Query for chat logs where customer message was blocked.

filter output_metrics_is_message_blocked = 1

Query for all the feedback logs where system answer was marked useful.

filter usefulness = "USEFUL"

Query for all the feedback logs where system answer was marked not useful.

filter usefulness = "NOT_USEFUL"

Query for all the feedback logs where system answer was marked not useful with reason “Other”.

filter usefulness = "NOT_USEFUL" and usefulness_reason = "OTHER"