When you are operating under a problem space of uncertainty in an exploratory fashion, it's important to know whether you are channelling your efforts to solving the right problems for your customers. This book introduces you the battle tested techniques and approaches which will help you build software products in an uncertain problem space in an iterative fashion by testing the assumptions about your customers and solutions.

Choosing the right area to focus on makes a tremendous effect on the path of success for your organisation's products and services. This is especially important when you are operating under a problem space of uncertainty in an exploratory fashion, where it's not clear what your customers' needs and JTBDs (Job to Be Done) are. How can you know whether you are channelling your efforts to solving the right problems for your customers? Are they reliably able to tell you what is not quite working as expected with your products?

Lean Software Development Under Uncertainty book will help you answer these questions by introducing you the battle tested techniques and approaches in a distilled way such as Assumption Mapping and Hypothesis-Driven Development, which will essentially help you build software products in an uncertain problem space in an iterative fashion by testing the assumptions about your customers and solutions by testing the assumptions about your customers, and also allows you to see development iterations as experiments. Besides going through this in theory, the books also gives you a real-world example for the implementation of this approach in a web application in coordination with the help of tools such as Google Analytics, Hotjar and Intercom.

This approaches introduced in this book will increase your chances to succeed when operating in an area of uncertainty. By the end of the this short book, you will also have a good example to take away and relate to your next challenges in a similar context.