Skip to main content

Start Here


Welcome to PM Career Playbook.

If you’re here, chances are you’re either trying to break into Product Management, preparing for PM interviews, or figuring out how to level up in your current PM role.

I built this blog for one simple reason:

Most PM advice online is either too generic, too theoretical, or too scattered.
This is my attempt to make PM learning clear, structured, and practical — the way I wish it was when I started.

What you’ll get from this blog

This blog is designed to help you with the real PM stuff:

  • Learning Product Management step-by-step (without confusion)

  • Thinking like a PM (not just memorizing frameworks)

  • Building strong case studies and product stories

  • Preparing for interviews with confidence

  • Using templates that make your work faster and cleaner

  • Understanding how AI is changing the PM role

Everything here is written with one focus:
to help you actually execute, not just consume content.

Who this is for

You’ll feel at home here if you are:

  • A student or fresher trying to enter Product Management

  • A working professional planning a switch into PM

  • Someone preparing for PM interviews and case rounds

  • A PM who wants better clarity on frameworks and decision-making

  • Curious about GenAI / Agentic AI and how PM roles are evolving

The best way to use this blog (recommended path)

If you’re new, don’t scroll randomly. Use this simple flow:

Step 1: Start with Roadmaps

This is where you’ll get clarity on what to learn, in what order, and what matters most.

Go to: Roadmaps

Step 2: Build thinking with Case Studies

PM interviews and real PM work are all about how you think. Case studies help you build that muscle.

Go to: Case Studies

Step 3: Prepare for interviews the right way

This section is focused on frameworks + practice areas that show up again and again.

Go to: Interview Prep

Step 4: Use Templates to move faster

Templates help you structure your work like a PM and communicate better.

Go to: Templates

If you’re in a hurry (quick shortcuts)

If your situation is specific, pick one:

If you’re starting from zero

Go to Roadmaps and follow the beginner path.

If you have interviews coming up

Go to Interview Prep and start practicing daily.

If you want to build a portfolio

Go to Case Studies and build 2–3 strong case studies.

If you want ready-to-use frameworks

Go to Templates.

My recommended posts to begin with

Start with these:

  1. Agentic AI: How It Will Redefine the Role of Product Managers in the Next 5 Years
    (Add link)

  2. PM Roadmap for Beginners (0 to Job Ready)
    (Add link)

  3. Case Study Structure: How to Answer Like a PM
    (Add link)

  4. Interview Prep: Product Metrics + Prioritization Basics
    (Add link)

I keep this section updated as new content goes live.

What I’m building here

Over time, this blog will become a complete playbook of:

  • PM learning roadmap (beginner to advanced)

  • Case studies with strong reasoning

  • Interview question patterns and answers

  • Templates and checklists

  • AI-for-PM notes and examples

If you’re serious about PM, you’ll find content here that’s not just “motivational” — it’s actionable.

What to do next

If you’re new here, start with this:

Go to Roadmaps → pick your level → follow the steps.

That’s the fastest way to make progress without confusion.


Comments

Post a Comment

Popular Posts

Agentic AI: How It Will Redefine the Role of Product Managers in the Next 5 Years

 The role of a Product Manager has always lived at the intersection of user needs, business goals, and technical capabilities. But today, we stand at the edge of a new transformation—one where Agentic AI is no longer science fiction, but a foundational shift in how we build and scale digital products. Recently, I completed a course on Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life , and it reshaped my perspective—not just on AI, but on product management itself. 🧠 What Is Agentic AI, Really? Unlike traditional AI models that wait for a prompt and respond, Agentic AI is autonomous and action-oriented . It doesn’t just suggest —it acts . These agents can plan, decide, and execute multi-step processes without needing step-by-step instruction from humans. Imagine a digital product that not only collects user data, but decides how to act on it, personalizes the experience in real-time, and even adjusts its own features based on business p...
Post a Comment
Read more

Rising of machines !

  Machine learning allows computers to solve tasks that have, until now, only been performed by individuals. Machine learning is driving an explosion in the capabilities of artificial intelligence, from driving cars to interpreting speech, helping software make sense of the chaotic and unpredictable real world. But what exactly is machine learning and what is making it possible for the latest machine learning boom? At a very high level, the process of teaching a computer system how to make precise predictions when fed data is machine learning. These predictions could address if a piece of fruit in a picture is a banana or an apple, seeing pedestrians crossing the road in front of a self-driving vehicle, whether the use of the word book in a sentence relates to a paperback or a hotel booking, whether an email is a spam, or correctly understanding speech enough to produce YouTube video captions. TYPES OF MACHINE LEARNING Machine learning is generally split into two main categories: s...
Post a Comment
Read more