In the previous articles, we discussed when to use machine learning to solve a business problem and how to frame the business problems as a machine learning problem. Now that we have developed a model, are we done? No. framing a business problem into a machine learning problem and solving…

In the previous articles, we discussed when to use machine learning to solve a business problem and how to frame the business problems as a machine learning problem. The brain map of where we are going is this: Machine learning is about developing a Function/Algorithm (F) that uses a set…

The commoditization of machine learning has happened at an unprecedented rate so much so that it is difficult to find a company — big or small, David or Goliath, that is not exploring Machine learning as a means to stay relevant in this rapidly changing business environment. In an attempt…

In the previous article here, we started with the introduction of how the marketplace is a play of engines, we discussed the two primary engines — The acquisition engine and the conversion engine. In this article, we will introduce the other two engines of the growth engine — The pricing…

Marketplace, as we all know, is a dynamic interaction of demand and supply. In this article, we will discuss how to develop an efficient demand growth engine — which is an interaction of multiple engines such as acquisition engines, conversion, incentive, and pricing engines. Many times, when we talk about…

When I started managing a team, I would often say, “I believe that adding this feature X would increase conversion by 10%” in my team meetings. …

Developing a phenomenal product that delivers value to users and helps capture value for organizations requires a deep understanding of users. In come ‘User personas’ — a representation of target segment/users. Personas allow us to develop features that can best serve the users’ needs, give organizations a common language to…

If you are a product leader then you must be wondering what are the various steps to deploy a machine learning model. This article is a quick handbook to guide you through the steps needed to achieve the goal. …

Why monetization gets neglected at startups — A thought experiment that started at Business school continued post graduation, when I interviewed product managers at startups to understand what percentage of time their teams spent thinking about monetization. The answer invariably was ‘less than 5%’. In most cases, monetization was an after-thought. The pendulum swung from one end…