Free Course on Building AI-Led Products with Case Study

Product sense is a pivotal skill in PM, essential for navigating the uncertainties of product development. It's compared to innate senses, suggesting it's inherent but can be refined with experience. This chapter will elaborate on how product sense plays a crucial role in decision-making and the success of a product.

Understanding the 'who, why, and what' is fundamental in PM. This chapter focuses on identifying user personas, determining the significance of their problems, and clearly defining the issues that the product aims to solve, all while aligning with business objectives.

AI PM isn't drastically different from traditional PM, but it has its unique aspects. Here, we explore the intricacies of AI's lifecycle, the importance of responsible AI, and the alignment of AI initiatives with business goals, providing a roadmap for PMs in the AI space.

First principles thinking is dissecting complex problems to their fundamental truths. This chapter discusses how this approach is vital in avoiding the pitfalls of product development, exemplified by the initial failure and subsequent pivot of Google Glass.

This chapter addresses the growing significance of responsible AI in PM. It underlines the importance of developing AI models that are unbiased and respect user privacy, using real-world examples to illustrate the potential consequences of neglecting these aspects.

We present a real-world application of AI PM principles through a smart traffic management system case study. The chapter breaks down the approach to tackling complex AI problems, from setting business goals to iterative model development and alignment with business strategies.

The final chapter encapsulates the core themes of the book, reaffirming the importance of product sense, user-centric design, and ethical considerations in AI PM. It offers closing insights and tools for PMs to develop successful, innovative, and responsible AI products.