Overview

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.

Syllabus

Interpret product surfaces for tracking - Foundation

You will systematically analyze user interfaces to establish comprehensive tracking frameworks that capture meaningful behavioral data.

Analyze user conversion funnels - Application & Assessment

You will systematically investigate conversion funnel performance drops through segmentation analysis and root cause methodology to identify specific optimization opportunities.

Feature Prioritization Framework

You will learn the RICE prioritization framework to systematically evaluate competing product features, eliminating subjective bias through structured impact, confidence, and effort assessments.

Strategic Decision Memo Creation

You will learn the creation of executive-level decision memos that transform analytical insights into actionable strategic recommendations with comprehensive risk assessment.

Analyze Churn Logs to Determine Root Causes

You 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.

Create Success Criteria for New User Onboarding Feature

You 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.

Apply Funnel Benchmarks for Impact Forecasting

You will learn the systematic application of industry funnel benchmarks to create predictive forecasting models that estimate Monthly Active User growth from referral initiatives.

Create Prioritization Matrices for Resource Allocation

You will learn the systematic creation of prioritization matrices using collaborative frameworks to guide strategic resource allocation decisions across competing product initiatives.

Hypothesis-Driven Analysis Framework Foundation

You will learn the systematic six-step framework that transforms ad-hoc product investigations into rigorous, reproducible analyses that stakeholders can trust and validate.

Model Selection Trade-offs Evaluation - Core Application & Assessment

You will learn the critical evaluation skills needed to select optimal classification models for product analytics scenarios by systematically comparing decision trees and logistic regression based on interpretability, data characteristics, and preprocessing requirements.

Data-Driven Storytelling Framework

You will learn the fundamentals of transforming technical analytics into compelling business narratives using proven storytelling structures.

Persona-Linked Prioritization Strategy

You will develop advanced skills in connecting quantitative user segmentation data to qualitative personas for strategic decision-making and stakeholder communication.

Project: Product Analytics for Prioritization and Data-Driven Decisions

You will create a comprehensive product analytics report that combines user funnel analysis, churn investigation, and strategic prioritization recommendations. This integrated project demonstrates proficiency in translating raw data into actionable business insights that drive product decisions.