Analyze Churn, Design Onboarding Success

Overview

Master the analytical skills that transform raw user data into strategic retention insights. This course empowers product analysts and data professionals to move beyond surface-level metrics and uncover the fundamental drivers of customer behavior. By completing this course, you'll be able to diagnose why users leave through systematic churn analysis and establish clear, measurable benchmarks for feature success that directly impact business outcomes. These skills enable you to guide product decisions with confidence, prevent costly missteps, and demonstrate tangible value to stakeholders. By the end of this course, you will be able to: Analyze churn logs to determine the root causes of user attrition. Create success criteria for a new user onboarding feature. This course is unique because it combines diagnostic churn analysis with proactive success planning, teaching you not just what went wrong, but how to ensure what you build next will succeed. To be successful in this course, you should have a background in data analysis, product metrics, and basic understanding of user behavior tracking.

Syllabus

Module 1: Analyze Churn Logs to Determine Root Causes

Learners will systematically examine customer churn data using Pareto analysis and cohort segmentation to identify underlying behavioral patterns and system-level friction points that drive user attrition.

Module 2: Create Success Criteria for New User Onboarding Feature

Learners will develop comprehensive success criteria frameworks with specific KPIs, counter-metrics, and target thresholds for onboarding features that prevent unintended consequences and ensure holistic performance measurement.