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  • Testing your AI agent

    Testing is a vital part of building an AI agent. Without testing, we won't know if what we have built works until its too late. Although we can never account for everything, we can still catch a lot of issues...

    • Path
    • Duration 55m
    • Beginner
  • Measure and analyse CSAT

    Customer satisfaction, or CSAT, is an important metric that can be difficult to work with. In this course you will learn not only how to best measure CSAT, but also how to analyse your CSAT data.

    • Path
    • Duration 1.5h
    • Beginner
  • Get started with conversation review

    Learn the basics of conversation review — what it is, how it works, and how to use it effectively in your daily workflow.

    • Path
    • Duration 1.4h
    • Intermediate
  • Automate more interactions

    The automation rate tracks how many interactions we can resolve without involving a human. It is one of the most central Key Performance Indicators (KPIs) for AI agent projects, because automated interactions save time, money and resources. This course covers...

    • Path
    • Duration 1h
    • Beginner
  • Increase your traffic

    In this course, we cover methods to increase your traffic based on real data from live projects. You'll learn how to categorize initiatives to increase traffic, and how to find ones that fit your AI agent project.

    • Path
    • Duration 1h
    • Beginner
  • Reduce immediate escalations

    Reduce immediate human escalation and improve automation. Learn how to reduce the number of users who ask to speak to a human without trying the AI agent first.

    • Path
    • Duration 15m
    • Intermediate
  • Track important flows with goals

    In this path, we'll talk about goals. Goals track flow usage. They generate statistics about how many people go through (or complete) your flows, and can tell you important things about how your users are using your AI agent.

    • Path
    • Duration 20m
    • Intermediate