Usage Analytics

Provides backend monitoring data to understand user information.

How to View

Navigate to "AI Assistant" in the left sidebar, then select "Usage Analytics" to view the AI assistant's conversation processing dashboard.

• Word Count

• Conversation Count

• Message Count

• Average Messages per Conversation

• User Satisfaction Rate

• Time Filter (by date, month, day, hour)

Through these metrics, you can understand the AI assistant's usage from multiple perspectives.

Detailed Statistics Explanation

1. Words Count

Calculation Method:

• Text Word Count: Calculates the character count of 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)

Statistical Scope: Includes user input messages and AI assistant reply messages, supports daily and monthly time granularity statistics

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2. Conversations Count

Calculation Method:

• Counter increments by +1 each time a new conversation is created

• When the first message in a conversation is created, it triggers a conversation statistics update

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

Statistical Scope: Supports hourly, daily, and monthly time granularity statistics

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3. Messages Count

Calculation Method:

• Counter increments by +1 each time a new message is created

• Includes user input messages and AI assistant reply messages

Update Timing: Triggers statistics update upon creation of each message

Statistical Scope: Supports hourly, daily, and monthly time granularity statistics

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4. Average Messages per Conversation

Calculation Formula:

Average Messages per Conversation = Messages Count ÷ Conversations Count (displays 0 if Conversations Count is 0)

Meaning:

• Represents the average number of messages per conversation

• Reflects the interaction depth between users and the AI assistant

• Higher values indicate deeper conversations and more frequent interactions

Statistical Scope: Supports hourly, daily, and monthly time granularity statistics

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5. User Satisfaction Rate

Calculation Formula:

User Satisfaction Rate = Number of Likes ÷ Total Feedback Count (displays 0 if Total Feedback Count is 0)
Total Feedback Count = Number of Likes + Number of Dislikes

Meaning:

• Represents the proportion of positive feedback (like rate)

• Value range: 0% ~ 100%

• Higher values indicate greater user satisfaction with AI assistant responses

Feedback Mechanism:

• Users can give "likes" or "dislikes" to AI assistant responses

• Supports real-time statistics updates

Update Timing: When users provide feedback (create, update, delete)

Statistical Scope: Supports hourly, daily, and monthly time granularity statistics

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Statistics Update Mechanism

Real-time Updates: When relevant events occur (new messages, new conversations, feedback changes), statistics updates are triggered immediately

Time Granularity Support:

• Hourly: Suitable for real-time monitoring

• Daily: Suitable for daily report analysis

• Monthly: Suitable for monthly reports and trend analysis

Application Scenario: Usage Effectiveness Evaluation

Observing the trend changes in "User Satisfaction Rate" and interaction count can evaluate whether the AI assistant's response quality meets expectations, serving as a basis for optimization.