In Step 10, you will learn how to how to test the MVP with actual users that will be using your product, how to define your KPIs (Key Performance Indicators), what behavior analytics you need to track, and how to implement them so that instead of guessing, you can use data to make product improvement decisions.

Implementing behavior analytics will allow you to understand what specific parts of your application users use the most, what delights them and what makes them frustrated, what brings them back to using your application, and why they might not be coming back as often as you’d like.

All these new data points help you make decisions.

• Which one of your existing features needs to be improved and how?
• What new features and functionalities would make the product “stickier” so more and more of your existing customers use your product on a regular basis and recommend and refer new users to you.

Data-driven decision making to improving your product is transformational.

Instead of guessing what features to focus on to get more users to use your product, you will have data that will inform you on exactly what the next functionality is that you should be testing and implementing…preventing you from spending a lot of resources building the wrong things.