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.

What are Analytics in Waterflai?

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.

Scope of Analytics

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

What You'll Learn in This Section

• How to navigate and use the Analytics space

• Strategies for optimizing your AI applications based on analytics data

Key Topics

• 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.

Use Cases

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!