Book Image

Growth Product Manager's Handbook

By : Eve Chen
Book Image

Growth Product Manager's Handbook

By: Eve Chen

Overview of this book

In the dynamic landscape of modern product management, professionals face a myriad of challenges, spanning customer acquisition, monetization, user retention, competition, and technical expertise. To overcome these hurdles, this book crystalizes growth strategies that revolve around harnessing the power of data, experimentation, and user insights to drive growth for a product. This handbook serves as your guide to exploring the essential growth product management models and their applications in various contexts, unveiling their role in enhancing revenue performance and customer retention. Along the way, actionable steps will steer you in implementing these models while helping you better understand your users, experiment with new features and marketing strategies, and measure the impact of your efforts, ultimately guiding you to achieve your customer retention and lifetime customer goals. By the end of this book, you’ll have gained advanced insights into growth product management, models, and growth strategies, and when and how to use them to achieve customer-for-life goals and optimized revenue performance.
Table of Contents (19 chapters)
1
Part 1: A User-Centric Management Strategy
5
Part 2: Demonstrating Your Product’s Value
9
Part 3: A Successful Product-Focused Strategy
13
Part 4: Winning the Battle and the War

Summary

This chapter provides a strategic framework for defining, monitoring, analyzing, and acting on performance metrics to maximize product success. It emphasizes the immense value of metrics for enabling data-driven product management.

We cover the strategic importance of performance metrics in areas such as quantifying product health, mitigating risks, focusing innovation on validated needs, increasing team alignment, speeding up iteration, optimizing user journeys, and fueling data-driven decisions. Best practices for defining the right metrics are then explored, including connecting metrics to business objectives, avoiding vanity metrics, keeping the quantity focused, and leveraging analytics platforms.

Effective monitoring and analysis techniques are discussed, such as automating dashboards, segmenting users, identifying trends and outliers, running cohort analysis, and connecting data to user outcomes. The chapter explains how to actively use metrics insights to build...