Metrics, Analytics, and Data Literacy
This module equips PMs with the fundamentals of data literacy.
Lessons
Why data literacy is a core PM skill
The role of data in product management
Qualitative vs quantitative data
Leading vs lagging indicators in product management
Understanding vanity metrics
What are actionable metrics?
Defining a North Star metric
Input vs output metrics
AARRR framework (pirate metrics)
What is activation and why it matters more than sign-ups
Understanding retention cohorts
Understanding engagement metrics
Revenue and monetization metrics
What are user funnels?
Attribution basics
Event tracking 101
Instrumentation pitfalls
Using analytics tools for product management
Dashboards vs deep analysis
What is segmentation in product analytics?
Understanding correlation vs causation
A/B testing basics
Statistical significance (in plain English)
Understanding data-informed decision making
The danger of over-optimization
Setting baselines for product measurement
The danger of metrics soup
Communicating data to stakeholders
AI and analytics for product managers
Building a metrics-driven culture
Context and why it matters in 2026
This module equips PMs with the fundamentals of data literacy.
In modern product teams, progress depends on clear playbooks and measurable outcomes. This module gives you practical steps you can apply immediately while keeping alignment with the broader Product Management Foundations curriculum.
Step-by-step playbook
Templates and examples
- Why data literacy is a core PM skill
- The role of data in product management
- Qualitative vs quantitative data
- Leading vs lagging indicators in product management
- Understanding vanity metrics
- What are actionable metrics?
Related examples from the blog
If you are working on AI-enabled workflows, review the glossary terms Prompt library and Reflection loop for reusable implementation patterns.
Metrics to track
- Module completion rate from first to last lesson.
- Lesson-to-lesson progression drop-off points.
- Time to complete versus the estimated 150 minutes.
- Retention into the next module and downstream lesson activity.
Related topics
FAQ
Who is this module for?
This module is designed for learners following Product Management Foundations, especially if you want to improve metrics, analytics, and data literacy with practical, repeatable steps.
How long does this module take?
Estimated completion time is 150 minutes across 30 lessons.
How should I study this module?
Complete lessons in order, apply one concept immediately in your current project, and review your progress using the metrics section below.
What should I do after this module?
Continue to the next module, then read the related articles to deepen your understanding with tactical examples and case studies.
Part of Product Management Foundations
The best course to master PM essentials, perfect for aspiring or junior product managers who want solid foundations.
View full courseOther modules in this course
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Opportunity Discovery and Ideation
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Validation and MVPs
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Principles of Effective Collaboration (Avoiding Process Pitfalls)
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Stakeholder Management and Communication
This module teaches PMs how to manage one of the hardest but most crucial parts of the role: stakeholders.
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Product Launch and Go-to-Market
This module teaches PMs how to plan, execute, and learn from product launches.
Customer Feedback and Continuous Discovery
This module shows how PMs can build an ongoing discovery habit by capturing, interpreting, and acting on feedback.
Product Iteration and Growth Loops
This module teaches how product iteration actually drives success post-launch.
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