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API Analytics for Product Managers

You're reading from   API Analytics for Product Managers Understand key API metrics that can help you grow your business

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803247656
Length 344 pages
Edition 1st Edition
Concepts
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Author (1):
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Deepa Goyal Deepa Goyal
Author Profile Icon Deepa Goyal
Deepa Goyal
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Table of Contents (24) Chapters Close

Preface 1. Part 1:The API Landscape 2. Chapter 1: API as a Product FREE CHAPTER 3. Chapter 2: API Product Management 4. Chapter 3: API Life Cycle and Maturity 5. Chapter 4: Building and Managing API Products 6. Chapter 5: Growth for API Products 7. Chapter 6: Support Models for API Products 8. Part 2: Understanding the Developer 9. Chapter 7: Walking in the Customer’s Shoes 10. Chapter 8: Customer Expectations and Goals 11. Chapter 9: Components of API Experience 12. Part 3: Deep Dive into Key Metrics for API Products 13. Chapter 10: Infrastructure Metrics 14. Chapter 11: API Product Metrics 15. Chapter 12: Business Metrics 16. Part 4: Setting a Cohesive Analytics Strategy 17. Chapter 13: Drawing the Big Picture with Data 18. Chapter 14: Keeping Metrics Honest 19. Chapter 15: Counter Metrics to Avoid Blind Spots 20. Chapter 16: Decision-Making with Data 21. The API Analytics Cheat Sheet
22. Index 23. Other Books You May Enjoy

Summary

Having learned about the metrics frameworks in Chapter 13, you know how to actively find a balance of leading and lagging indicators in your metrics so that you can establish the right input and output metrics that your team can actively work on to have the desired impact on business goals. Having a balanced view of the data and being able to pick the right metrics for each initiative that your team works on is key to keeping your efforts focused and prioritizing the right items on your product roadmap.

Being able to narrate the strategy behind the metrics you choose and the changes in those metrics over time enables you to tell a compelling story to your stakeholders and leaders to gain their trust and support for your product initiatives. Now that you have learned how to tell stories with data, you will learn about identifying biases in your interpretation of data and eliminating blind spots in your metrics in the following chapter.

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