Analytics
The Analytics section provides insights into how your AI assistant is performing and how users are interacting with it. It helps businesses monitor conversations, measure engagement, and understand how effectively the assistant is handling customer requests.
The analytics dashboard combines information from chat interactions, voice conversations, knowledge base usage, and agent activity to give a complete overview of assistant performance.
Overview Metrics
The dashboard highlights several key metrics that help track system activity.
Active Sessions
Shows the number of conversations currently active with the assistant.
Knowledge Base Size
Displays the total size of the knowledge base used to train the assistant. This includes data from website content, documents, and other training sources.
Total Sessions
Represents the total number of conversations that have taken place between users and the assistant.
Interactions
Tracks the total number of messages exchanged during conversations, including both chat and voice interactions.
Knowledge Source Insights
AssistifAI also provides a visual breakdown of where the assistant’s knowledge comes from.
Common sources include:
- Website content
- Uploaded files or documents
- Q&A training entries
- Text inputs
This helps businesses understand how their assistant is being trained and which sources contribute the most information.
Session Activity
The analytics dashboard displays session activity through charts that show daily conversation trends.
This allows businesses to see:
- How many conversations happen each day
- Whether users are interacting through chat or voice
- Trends in assistant usage over time
These insights help teams understand peak usage periods and customer engagement patterns.
Agent Usage
AssistifAI also tracks how frequently different agents are used.
For example, analytics may show usage data for:
- General queries
- Appointment scheduling
- Business information requests
- Other automated actions
This helps businesses identify which features of the assistant are being used the most.
Appointment Insights
If appointment booking is enabled, the analytics section can also display data about scheduled meetings.
This helps businesses track how many appointments were booked through the assistant over time.
Why Analytics Matters
Analytics helps businesses improve their AI assistant by providing visibility into real usage data.
By reviewing analytics, businesses can:
- Understand customer behavior
- Identify common questions
- Improve knowledge base content
- Optimize conversation flows
- Measure the impact of AI automation
These insights allow businesses to continuously improve how AssistifAI supports their customers through both chat and voice interactions.
