Technical Proficiency for Product Managers: Beyond Just Understanding

Product Managers: Why You Need to Understand Tech (and How to Learn)

As product managers, we often find ourselves caught between users and engineers, translating needs into actionable plans. But the line between "PM" and "technical expert" can feel blurry, especially in today's data-driven world.

This post argues that understanding tech isn't just a bonus for product managers – it's a necessity for success. Here's why:

1. Bridging the Communication Gap:

Imagine this: Your engineers mention "AUC" and "multi-stage recall." Without technical knowledge, these terms become meaningless jargon. But with understanding, you can engage in meaningful conversations, grasp their strategies, and provide informed feedback.

2. Beyond Just Asking Questions:

Being a product manager doesn't require becoming an engineer, but it does require grasping core concepts. Just like a basketball coach needs to understand the game even if they don't play professionally, you need to "get" the tech side to effectively lead your team. This means understanding algorithms, data analysis, and how engineers build solutions.

3. Data-Driven Decisions:

In today's world, data is king. Product managers need to analyze it, interpret trends, and use insights to drive product development. Basic SQL skills and an understanding of data analysis frameworks are essential for this.

4. Strategy & Execution:

Tech plays a crucial role in implementing product strategies. Understanding concepts like "item-based collaborative filtering" or "user-based collaborative filtering" allows you to participate meaningfully in discussions about how features are built and deployed.

So, How Do You Learn?

Learning tech as a product manager doesn't have to be overwhelming. Here's a roadmap:

1. Data Analysis:

• Start with MySQL: B站 (Chinese video platform) offers free courses on the basics of SQL.
• Understand Data Analysis Frameworks: Go beyond tools and learn how to structure data analysis, build user profiles, and interpret trends.

2. Algorithms:

• Python is Your Friend: It's versatile, widely used in machine learning, and relatively easy to learn compared to other languages. Consider enrolling in a structured Python course (online or offline) for focused learning.
• Machine Learning Deep Dive: For serious exploration, consider a one-year Master's program in Data Science or AI.

3. Strategy & Tactics:

• Read and Research: Explore blogs, articles, and online communities to understand common algorithms and their applications.

Remember, it's a journey, not a race. Focus on continuous learning, build your foundation, and you'll be amazed by how much your product management skills will improve.