IntermediateProduct Managers
Data-Driven Product Management
Move beyond gut feelings and opinions. This path teaches you how to define the right metrics, run A/B tests, analyze funnels and retention, interpret NPS and CSAT, and tell stories with data that drive decisions.
4 modules24 steps~5 hours
0% complete0/24 steps
Path Progress: 0% (0/24 steps)▾
○Module 1: Defining the Right Metrics0/6
○Module 2: A/B Testing and Experimentation0/6
○Module 3: Funnel Analysis and Retention0/7
○Module 4: NPS, CSAT, and User Feedback0/6
After completing this path, you will be able to:
- ✓Define a metrics hierarchy from North Star to input metrics
- ✓Design and interpret A/B tests without a data science degree
- ✓Analyze user funnels and retention cohorts to find drop-off points
- ✓Present data-driven recommendations that move stakeholders to act
Learning Objectives
- •Build a metrics hierarchy: North Star, input metrics, and guardrails
- •Distinguish between leading and lagging indicators
- •Avoid the most common metric selection mistakes
Learning Objectives
- •Design a valid A/B test with proper sample size and duration
- •Interpret statistical significance without a statistics degree
- •Know when A/B testing is the wrong approach
✏️
15m
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5m
Learning Objectives
- •Build and analyze a conversion funnel
- •Read cohort retention curves and spot problems early
- •Calculate and improve key retention and churn metrics
Learning Objectives
- •Design NPS and CSAT surveys that produce actionable results
- •Segment survey results to find patterns
- •Combine quantitative metrics with qualitative feedback
Path Progress
0% complete0/24 steps
○Defining the Right Metrics0/6
○A/B Testing and Experimentation0/6
○Funnel Analysis and Retention0/7
○NPS, CSAT, and User Feedback0/6
0 of 24 steps completed