Advanced Product Management: Vision, Strategy & Metrics
Learn the skills Product Managers use every day. Vision, strategy, & advanced metrics for Product Managers
4.51 (10495 reviews)
63 983
students
5.5 hours
content
Apr 2025
last update
$94.99
regular price
What you will learn
The difference between vision and strategy
How famous leaders use vision to succeed
How to use a vision framework for your company and product
How to use OKRs to track progress
How product development hierarchies work
How to understand agile roadmapping
How to tie your metrics to your overall business strategy
When to use data and when to use intuition
How to debug metrics with origin source sorting
How to recognize cohort anomalies
How to design a cohort analysis
How to design and run a t-test on cohort data
The difference between a leading and lagging metric
How metrics differ in multiple industries, including e-commerce, mobile, & marketplaces
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Our Verdict
Advanced Product Management: Vision, Strategy & Metrics offers valuable insights into product vision, strategy, and data analysis. Despite minor shortcomings like some outdated examples and a need for more interactivity, its comprehensive content makes it a worthwhile course for aspiring or seasoned product managers. Nevertheless, prospective students should be prepared to stay focused and committed to grasp the complex concepts and ideas presented in this engaging yet challenging Udemy program.
What We Liked
- In-depth exploration of product vision and strategy, providing a solid understanding of these complex subjects.
- Practical insights and real-life examples enhance the learning process, enabling students to apply concepts in various industries.
- The course covers an array of product management metrics, offering a comprehensive overview of data analysis and interpretation.
- Clear and concise presentation style helps maintain student engagement and facilitates better understanding.
Potential Drawbacks
- Some students may find the course to be slightly outdated, as the examples and technologies discussed are a few years old.
- A more hands-on approach with exercises, quizzes, or real-world projects could help reinforce learning and make it more engaging for some learners.
- The course might benefit from further exploration of specific metrics and their practical applications, as well as interpreting and improving them.
- There seems to be inconsistency in the delivery of 'data-driven' decision making, which could lead to confusion among students.
2013542
udemy ID
07/11/2018
course created date
20/11/2019
course indexed date
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