API Analytics for Product Managers
INTERACTIVE COURSE

API Analytics for Product Managers

Beginner

126 Lessons

15h

Certificate of Completion

AI Explanations
AI Explanations
API Analytics for Product Managers
31 Quizzes
164 Illustrations

Takeaway Skills

An understanding of key API metrics

The ability to utilize API metrics to grow your business

The ability to manage APIs as a product

The ability to build customer empathy for API products

In-depth knowledge of design metrics for measuring APIs from the perspective of infrastructure, product, and business

The ability to identify the right key performance indicators (KPIs) for API products to build a product strategy

Course Overview

This course will guide you through managing APIs as products, building customer empathy, designing metrics for measuring success, and identifying KPIs to inform your product strategy. This course is divided into four parts. You’ll begin by learning about APIs as products and understanding how large the market is for API products. Next, you learn about product management concepts and how these apply to APIs. Then, you will learn about the primary customer of APIs—the developer. Next, you will be introduced...Show More

Course Content

1

Introduction to the course

2

Part 1: The API Landscape

3

API as a Product

4

API Product Management

5

API Life Cycle and Maturity

6

Building and Managing API Products

10 Lessons

7

Growth for API Products

7 Lessons

8

Support Models for API Products

7 Lessons

9

Part 2: Understanding the Customers

1 Lesson

10

Walking in the Customer’s Shoes

6 Lessons

11

Customer Expectations and Goals

6 Lessons

12

Components of the API Experience

8 Lessons

13

Part 3: Deep Dive into Key Metrics for API Products

1 Lesson

14

Infrastructure Metrics

7 Lessons

15

API Product Metrics

10 Lessons

16

Business Metrics

8 Lessons

17

Part 4: Setting a Cohesive Analytics Strategy

1 Lesson

18

Drawing the Big Picture with Data

8 Lessons

19

Keeping Metrics Honest

6 Lessons

20

Counter Metrics to Avoid Blind Spots

6 Lessons

21

Decision-making with Data

7 Lessons

22

Conclusion

2 Lessons

COURSE AUTHOR

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