> For the complete documentation index, see [llms.txt](https://docs.1millionbot.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.1millionbot.com/insights/chatbot.md).

# Chatbot

Gain insights into how users interact with your chatbot and measure key performance indicators to continually refine and improve the user experience.

## Key Metrics

Understand the key metrics that define your chatbot's performance and user engagement.

### New Users

The count of unique users who have initiated interaction with the chatbot for the first time.

### Users

The total number of unique users who have engaged with the chatbot.

### Messages

The total count of messages exchanged between the chatbot and users.

### Success Rate

The percentage of conversations where the chatbot was able to understand and respond to the user's intent accurately.

### Abandon Rate

The percentage of conversations that were not continued by the user, indicating potential areas for improvement in engagement or comprehension.

### Full-time Equivalent

An estimation of the time saved by the chatbot, represented as the equivalent work done by a full-time employee.

## User Engagement Analysis

Visualize user engagement and interaction patterns to better schedule resources and understand user behavior.

* Top intents: Identify the most frequently used intents, providing insight into common user inquiries or issues.
* Full time equivalent. Broken down by days in a given time range
* Percentage of users per day of the week
* Users per hour
* Users per country