Product Analytics for Prioritization & Data-Driven Decisions

About this course

You'll develop expertise in transforming user behavior data into strategic product decisions through comprehensive analytics and prioritization frameworks. By completing this course, you'll gain the ability to design tracking systems, diagnose conversion funnel issues, and apply structured prioritization methods like RICE scoring to guide product roadmaps. You'll learn to analyze churn patterns, create success criteria for new features, and build predictive models to forecast product impact. This hands-on course uniquely combines technical analytics skills with strategic business thinking, teaching you to communicate insights through compelling data stories using the Situation-Complication-Resolution framework. You'll work with real-world scenarios involving user journey mapping, hypothesis-driven analysis, and model selection trade-offs between decision trees and logistic regression. Upon completion, you'll possess the comprehensive analytical toolkit needed for product management, growth analytics, and data-driven strategy roles where technical proficiency meets business impact.

What you will learn

• Design tracking systems by translating product features into event schemas and diagnose funnel regressions to pinpoint user drop-off causes.
• Apply RICE prioritization framework to evaluate features and create decision memos linking data trends to strategic roadmap recommendations.
• Analyze churn logs to identify attrition root causes and establish success criteria with counter-metrics for new product features.
• Build predictive models using decision trees and logistic regression, then present insights using structured data storytelling frameworks.