Included with Axero Copilot add-on
Axero Copilot Analytics empowers administrators to gain valuable insights into user interactions with Axero Copilot. By leveraging this analytics feature, administrators can review activity, analyze feedback, and understand user behavior to optimize the Axero Copilot's performance and enhance user satisfaction.
Filtering
Administrators can refine their analysis by leveraging the powerful filtering options available in the Axero Copilot Analytics dashboard. Filters allow administrators to focus on specific parameters, enabling more targeted insights. Filtering options include:
Sorting
Axero Copilot Analytics dashboard displays data sorted by date in descending order, with the most recent interactions appearing first. This default sorting provides administrators with immediate access to the latest information.
Timeframe
You have the ability to choose the specific timeframe you wish to analyze. By default, the system is set at Last 30 days, but you have the flexibility to opt for a day, an entire month, the past 12 months, or even set a custom range according to your needs.
Download
The Axero Copilot Analytics dashboard offers the capability to download data for further analysis. Administrators can export the displayed report as a CSV file. The downloaded data will align with the applied filters, providing consistent information for in-depth analysis.
Session details
For a comprehensive understanding of user interactions, administrators can delve deeper into individual sessions.
By clicking on a specific item in the analytics report, the entire response, along with any associated referenced items, is displayed.
By clicking on a session of the specific question in the analytics report, a side modal opens, displaying the complete history of the session to which the question belongs. If a response was rated as unhelpful, admins can check the feedback to understand why it wasn't helpful.
Administrators can access detailed session information, enabling them to review the entire interaction and understand user behavior.
This detailed session information empowers administrators to gain valuable insights into how users are engaging with the chatbot, assess the effectiveness of responses, and identify areas for improvement.
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