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

Validating your insights

Quantitative data is easier to measure and can be tracked for change more frequently than qualitative data. You can use the various research techniques you learned in Chapter 8 to gather qualitative and quantitative data. Since analyzing unstructured data from feedback forms, questionnaires, and diary studies that are part of qualitative data requires intense effort in conducting and interpreting, it is common to have less frequent updates to these insights. But qualitative data can give you more nuanced insights into the end user experience that can help you identify and creatively address the users’ needs. Often, qualitative data can help you find opportunities you may not have been aware of yourself.

You can utilize qualitative data to drive decisions when you don’t have enough data to make a decision. This is very useful when you are testing new functionality and want to get early feedback from customers. Usability studies are the best...