Getting Started with Product Analytics

Learning Objectives

Upon completing this course, you will be able to:

Explain why product teams use metrics-driven iteration instead of ad-hoc iteration
Distinguish between raw counts and rates, and explain when each is appropriate
Explain how segmenting users by shared attributes reveals patterns that aggregate metrics can hide
Define the digital product metrics: exposure, onboarding completion, activation, and engagement
Use Sessions, Views, Actions, and Server Events to analyze user behavior in the Datadog Product Analytics Events page
Build and save a shareable product metrics dashboard with visualizations for exposure, onboarding completion, activation, and engagement in Datadog Product Analytics

Primary Audience

This course is designed for Product Managers who want to measure user journeys and make data-driven product decisions. Anyone who needs to understand how Datadog Product Analytics works and how to build a product metrics dashboard will benefit from taking this course.

Prerequisites

To complete this course, you need:

Basic familiarity with Datadog navigation and concepts
No prior experience with Product Analytics required

Technical Requirements

In order to complete the course, you will need:

Google Chrome or Firefox
Third-party cookies must be enabled to access labs

Course Navigation

At the bottom of each lesson, click MARK LESSON COMPLETE AND CONTINUE button so that you are marked complete for each lesson and can receive the certificate at the end of the course.

Course Enrollment Period

Please note that your enrollment in this course ends after 30 days. You can re-enroll at any time and pick up where you left off.

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