> For the complete documentation index, see [llms.txt](https://docs.maiagent.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.maiagent.ai/maiagent-user-guide/maiagent-user-guide-en/org/usage.md).

# Usage Analytics

## How to View

Go to "<mark style="color:blue;">AI Assistant</mark>" in the left menu and select "<mark style="color:blue;">Usage Analytics</mark>" to view the AI Assistant conversation dashboard.

* Word count
* Conversation count
* Message count
* Average messages per conversation
* User satisfaction
* Time filters (by date, month, day, hour)

These metrics allow you to understand AI Assistant usage from multiple perspectives.

<figure><img src="/files/B36vxFMQZjOOgeNrAkJb" alt=""><figcaption></figcaption></figure>

## Detailed Metric Descriptions

### 1. Word Count (Words Count)

**Calculation Method:**

* **Text word count**: Counts the number of characters in message content
* **Image cost**: Each image is calculated based on the configured image word cost
* **Total word count** = Message content word count + (Number of images × Image word cost)

**Scope:** Includes both user input messages and AI Assistant reply messages. Supports daily and monthly granularity.

***

### 2. Conversation Count (Conversations Count)

**Calculation Method:**

* Each time a new conversation is created, the counter increments by 1
* When the first message in a conversation is created, it triggers a conversation statistics update

**Update Trigger:** When a user starts a new conversation (first message)

**Scope:** Supports hourly, daily, and monthly granularity.

***

### 3. Message Count (Messages Count)

**Calculation Method:**

* Each time a new message is created, the counter increments by 1
* Includes both user input messages and AI Assistant reply messages

**Update Trigger:** Each message creation triggers a statistics update

**Scope:** Supports hourly, daily, and monthly granularity.

***

### 4. Average Messages per Conversation (Average Messages per Conversation)

**Formula:**

```
Average messages per conversation = Message count ÷ Conversation count (displays 0 if conversation count is 0)
```

**Description:**

* Represents the average number of messages per conversation
* Reflects the depth of interaction between users and the AI Assistant
* Higher values indicate deeper and more frequent interactions

**Scope:** Supports hourly, daily, and monthly granularity.

***

### 5. User Satisfaction (User Satisfaction Rate)

**Formula:**

```
User satisfaction = Likes ÷ Total feedback (displays 0 if total feedback is 0)
Total feedback = Likes + Dislikes
```

**Description:**

* Represents the percentage of positive feedback (like rate)
* Value range: 0% to 100%
* Higher values indicate greater user satisfaction with AI Assistant responses

**Feedback Mechanism:**

* Users can give a "like" or "dislike" to AI Assistant responses
* Statistics are updated in real time

**Update Trigger:** When users provide feedback (create, update, or delete)

**Scope:** Supports hourly, daily, and monthly granularity.

***

## Statistics Update Mechanism

**Real-time updates:** Statistics are immediately updated when relevant events occur (new message, new conversation, feedback change)

**Time granularity support:**

* **Hourly**: Suitable for real-time monitoring
* **Daily**: Suitable for daily report analysis
* **Monthly**: Suitable for monthly reports and trend analysis

## Use Case: Effectiveness Assessment

Observe trends in "User Satisfaction" and interaction counts to evaluate whether the AI Assistant's response quality meets expectations, serving as a basis for optimization.


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