Product Management 101: Strategy, Roadmap, Execution

In this lecture, we will discuss the key takeaways from this section. We will learn how to solidify crisp problem statements with fun exercises.  We will also learn how to navigate organization and plan your career trajectory with actionable steps.

In this lecture, we go through ambiguous anecdotes to compile clear problem statements. We run through 3 different scenarios across verticals and churn out actionable steps

As a product manager joins a new company, one is expected to ramp up on historical context, depth of the product, and processes. In this lecture, we will go through all such categories with a take-home exercise

People management is one of the crucial skills needed for a PM. Navigating effectively through structures within the organization helps with more efficient execution 

This lecture describes the objectives of laying out a 30/60/90 day plan for a PM

In this lecture, we discuss the key actionable on your 30/60/90 day plan to setup for success

The growth trajectory of a product manager typically involves several key stages, which can vary depending on the organization, industry, and individual career aspirations. This lecture describes the outline of a common product management career path

In this lecture, we will discuss the key takeaways from this section. Market research and analysis are critical components of a product manager's role, guiding product development and strategy. This section gives a breakdown of how a product manager conducts market research and analysis

Market research and analysis aims to gather, analyze, and interpret data about a specific market, including information about the target audience, competitors, and overall industry trends. This lecture describes the objectives in detail

To conduct market research and analysis, one should: define research objectives, develop a research plan, collect relevant data, analyze the data, interpret the findings, present results, and incorporate them into one's strategy. This lecture details steps to conduct research

When conducting user research for B2B (business-to-business) compared to B2C (business-to-consumer), the key difference lies in the target audience, where B2B focuses on decision-makers within businesses, requiring a deeper understanding of their complex needs and buying processes. In contrast, B2C targets individual consumers with often simpler decision-making. This lecture focuses on research techniques for both B2B and B2C worlds

In this lecture, we will discuss the key takeaways from this section. A "product strategy" defines the overarching vision and goals for a product, outlining the "why" and "what" of its development, while a "product roadmap" is a detailed plan that specifies the "how".

This lecture covers examples of how product vision is defined and sustained

A product vision is a statement that describes a product's long-term goals and direction. It's a strategic concept that helps guide the product development team and other stakeholders. This lecture focuses on how to define your product vision

A product strategy is a plan that defines a product's vision, goals, and how it will be developed and marketed. It's a roadmap that helps align teams and stakeholders around a common objective. This lecture focuses on how to define your product strategy 

A product roadmap is a visual plan that outlines a product's goals, features, and timeline. It helps teams align on priorities and track progress. This lecture focuses on how to define your product roadmap 

This lecture details out various components of a product roadmap

An "execution strategy" in product management refers to a detailed plan outlining the specific actions, timelines, and resources needed to implement a product strategy, effectively bringing a product idea to life and achieving desired goals, including prioritizing features, managing development phases, and closely monitoring progress against key metrics. This lecture details components of an execution strategy

In this lecture, we will discuss the key takeaways from this section. Various types of documentation, metrics, and rollout strategies will be discussed in detail

Product management documentation makes your assumptions clear and ensures that your team can build a product that actually works. Gaining a clear idea of your users is also essential as these are the people that the product manager role exists to serve.

This lecture covers different types of documentations

A Product Requirements Document (PRD) is a document that outlines the requirements for a product. It's a critical communication tool that helps product managers and other stakeholders align on the product's vision, goals, and features

A "rollout strategy" in product management refers to a planned approach to gradually introduce a new product or feature to the market, including identifying target audiences, defining launch phases, managing marketing efforts, and gathering feedback to ensure a smooth and successful adoption by users.

Product metrics are relevant because they provide quantifiable data about how users interact with a product, enabling informed decision-making by product teams to improve user experience, identify areas for development, and ultimately drive business success by making data-driven adjustments to the product based on user behavior and engagement levels

Product metrics are quantifiable data points that help businesses assess the performance of their products. They can be used to understand how users interact with a product, how well it's being used, and how successful it is

In this lecture, we will discuss the key takeaways from this section. Different types of stakeholders and approaches to manage them.

To effectively manage product stakeholders, a key strategy is to proactively identify and prioritize them, deeply understand their needs and interests, foster open communication channels, regularly update them on progress, address concerns promptly, and tailor your engagement approach based on their influence and level of involvement; this includes creating a clear product vision, setting expectations, and using data to support decision-making when communicating with them

This lecture covers on who your team members are and effectively lead the team.

In this lecture, we will discuss the key takeaways from this section. A go-to-market strategy is a tactical plan detailing how a company plans to execute a successful product release and promotion, and ultimately its sale to customers. Common elements of a product's go-to-market strategy include: Pricing strategy. Sales tactics and channels.

A product release is the process of making a product, feature, or update available to users. It is a significant milestone in product development. In the section, we will cover the checklist before a product release

A go-to-market (GTM) strategy is a detailed plan that outlines how a business will launch a product or service to market. It helps businesses connect with customers and gain a competitive advantage

In this lecture, we will focus on detailed goals & summary of steps of various stages in the lifecycle of a product, right from development to maturity

In this lecture, we will discuss the key takeaways from this section. We would discuss details on different roles within the product management domain and skillsets for a platform PM and an Machine Learning PM

There are several types of product management roles, including technical, growth, marketing, AI, data, UX, and enterprise product manager. This lecture covers each one in detail

A Platform Product Manager (PM), is one of the most challenging roles in product management. They are responsible for prioritizing and supporting the work of multiple consumer-facing products and providing a cohesive vision across the organization

This lecture focuses on various dimensions that a platform PM is supposed to cover

A machine learning (ML) product manager is responsible for guiding the development of ML products from concept to a user-friendly product. They act as a liaison between business and technical strategists

This lecture discusses the skillsets and expectations out of Machine Learning PM