Analytics Overview
Welcome to the Analytics section of Waterflai's documentation. Here, you'll learn how to gain valuable insights into the performance and usage of your AI applications.
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Welcome to the Analytics section of Waterflai's documentation. Here, you'll learn how to gain valuable insights into the performance and usage of your AI applications.
Analytics in Waterflai provide you with data-driven insights about your AI applications. These tools help you understand how users interact with your chatbots and workflows, identify areas for improvement, and make informed decisions about your AI strategy.
It's important to understand what Waterflai's analytics currently cover:
Production Usage: Analytics primarily focus on interactions that occur in external environments, such as:
API calls to your AI applications
Embedded chatbots on websites or in applications
Not Included: The current analytics do not cover:
Tests or interactions made directly within the Waterflai platform
How to navigate and use the Analytics space
Strategies for optimizing your AI applications based on analytics data
Analytics Space: An introduction to the dedicated area for viewing and managing your analytics.
Dashboards: Learn how to interpret visual representations of your data.
Logs: Understand how to access and analyze detailed logs of your AI applications' activities.
Whether you're looking to:
Improve the performance of a customer service chatbot
Optimize a complex AI workflow
Understand user adoption of your AI features
Identify areas for model fine-tuning
This section will equip you with the tools and knowledge to make data-driven decisions based on real-world usage of your AI applications.
Let's begin by exploring the Analytics Space and setting up your first dashboard!
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