# Amazon Q Business conversation log query examples
You can use [CloudWatch Logs insights](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AnalyzingLogData.html) to interact with conversation and feedback logs from Amazon Q Business. The following are examples of common queries.
+ 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 =
```
+ 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"
```
+ Query all feedback logs where system message was hallucinated
```
filter hallucinated_message != "NOT TRIGGERED" and hallucinated_message != NO HALLUCINATION DETECTED
```