Book Image

API Analytics for Product Managers

By : Deepa Goyal
Book Image

API Analytics for Product Managers

By: Deepa Goyal

Overview of this book

APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation? API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation—an often-overlooked aspect of development. Of course, it's not all about the product—as any good product manager knows; you need to understand your customers’ needs, expectations, and satisfaction too. Once you've gathered your data, you’ll need to be able to derive actionable insights from it. This is where the book covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals. By the end of this book, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.
Table of Contents (24 chapters)
21
The API Analytics Cheat Sheet

Conducting qualitative and quantitative research

You can use various techniques to reach out and connect with customers to stay informed on various pain points. Quantitative user research is research that gives you numbers, while qualitative research gives you information that is harder to fit into a calculation. What kind of research you do depends a lot on your research goals and what kind of data will help you understand your users’ needs the best.

Don’t think that either type of research is less important than the other. Both can give you valuable information that can help guide your design process and lead to great results.

For quantitative research, you use different types of user testing to collect and analyze data that is objective and can be measured. Quantitative data almost always consists of numbers, and its analysis is based on statistics, math, and computers. As the name suggests, the goal of quantitative user research is to get measurable results...