# Reports Dashboard

Here, you can take a quick look at how many chats Lynn is having with customers. Notice a spike? That could be a promotional success or a product issue. A dip? Maybe it’s time to boost your marketing efforts.

**Note**: Please ensure that the selected date range for the charts is within 7 days to 100 days to obtain accurate insights and trends.

* **Conversation Trends Chart**: This shows the volume of conversations over time within the selected date range. It allows you to identify trends, such as peak times or days when conversation volume is high or low.
* **Messages Trends Chart**: Similar to the Conversation Trends Chart, this tracks the number of messages exchanged rather than the number of conversations. It can give you insight into how engaged users are and how complex the conversations might be.
* **User Satisfaction Trends Chart**: This tracks user satisfaction over time. It indicates how many users expressed satisfaction or dissatisfaction with the service they received. Note that "N/A" means there is no available data for the selected period or that the user hasn't provided any feedback regarding the conversation.
* **Problem Resolution Trends Chart**: This indicates the percentage of conversations that were resolved without human assistance. High percentages suggest effective communication with users through Lynn in resolving user issues.
* **Compositions of Tags**: The tags section breaks down the types of interactions by keywords or tags that were generated by AI according to the conversation.
  * **Occurrences**: The number of times the tag was mentioned in conversations.
  * **Composition Percentage**: The percentage that this tag represents out of all tags.
  * **Occurrences Over Time**: A visual representation of the tag's frequency over the selected date range.

This dashboard is a powerful tool for understanding the performance and efficiency of your customer support or chat service. You can use this data to make informed decisions about staffing, training, and improving automated systems.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://support.lynn.chat/reports-dashboard.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.