Logs
Last updated
Last updated
The Chatbot Logs is a feature that allows you to keep a record of all your conversations in the chat.
When you switch on "Save Logs" from the Admin panel, the functionality will start to work. After that, whenever your visitors write something in the chatbot, AI Bud will save this conversation to the database. Every conversation will be saved separately and then you will be able to access all the logs.
When you click the “LOGS” button, it directs you to the visitor chatbot history page.
Upon entering the Logs page, you will be presented with a dashboard curating various data points belonging to your interactions within the chatbot, offering insightful analysis of your conversations.
Let's review them;
ID: It shows the unique number allocated to each log.
Page: This column indicates the specific page or post where the form was embedded and used.
Date: This serves as a chronological guide, offering a timestamp for each instance the form was utilized, enabling precise tracking of its activity.
Actions: In this column, you will find ‘eye’ and ‘trash’ icons; the eye icon shows you your chat details, and the trash icon allows you to delete your chosen chat history.
In the actions column, when you click the "eye" icon, a new 'Chat Detail' window will be open. You can follow all conversations from this area just as written on the AI Bud WP Chat window.
In addition to other features, The Logs also provides you “CSV” format. When you click the "CSV" button, which is in the top left corner of the chatbot page, you will export the all recorded chatbot archives as an Excel document.
When you export the documents and open the file, you will see an Excel file like the example above. You will find all conversations in detail, grouped by page, date and chat content.
Data-driven Insights: Chatbot logs provide valuable data-driven insights into user interactions, preferences, and behaviors.
Performance Evaluation: They enable thorough performance evaluation, allowing for the identification of areas of improvement and optimization.
User Feedback: Chatbot logs capture user feedback and sentiment, aiding in refining the chatbot's responses and user experience.
Issue Resolution: They serve as a comprehensive record of user queries and issues, facilitating swift resolution and troubleshooting.
Personalization Opportunities: By analyzing chatbot logs, organizations can personalize user experiences based on historical interactions and preferences.
Training Data: Chatbot logs serve as valuable training data for machine learning models, improving the chatbot's natural language understanding and response accuracy.
Usage Trends: They highlight usage trends and patterns, enabling organizations to anticipate user needs and adapt their services accordingly.
Compliance and Governance: Chatbot logs help ensure compliance with regulations by documenting user interactions and maintaining audit trails.
Cost Efficiency: Analyzing chatbot logs can lead to more efficient resource allocation and cost savings by identifying opportunities for automation and optimization.
Continuous Improvement: Overall, chatbot logs support continuous improvement efforts by providing actionable insights for enhancing the chatbot's performance and user satisfaction over time.
