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Product Management Success Metrics Question: Tracking key performance indicators for an education portal launch
Image of author vinay

Vinay

Updated Nov 14, 2024

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You were recently hired as a product manager for an education portal. Its website has courses that people can take, for example, Python programming. Your product is close to launching. What metrics are you interested in tracking and preparing for and why?

Product Success Metrics Medium Member-only
Metric Selection Data Analysis Product Strategy Education Technology Online Learning Professional Development
User Engagement Product Metrics Edtech Course Completion Platform Growth

Introduction

Tracking the right metrics for an education portal is crucial for product success and continuous improvement. To approach this product success metrics problem effectively, I will follow a simple product success metric framework. I'll cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy.

Step 1

Product Context

The education portal is a web-based platform offering courses like Python programming. It's on the verge of launching, targeting individuals seeking to enhance their skills or switch careers. Key stakeholders include learners, course creators, and the company's leadership.

User flow typically involves:

  1. Course discovery and selection
  2. Enrollment and payment
  3. Content consumption (videos, quizzes, assignments)
  4. Progress tracking and completion
  5. Certification or assessment

This product aligns with the company's strategy to democratize education and upskill the workforce. Compared to competitors like Coursera or Udemy, our focus might be on more specialized, in-demand tech skills with a streamlined user experience.

As a soon-to-launch product, we're in the introduction stage of the product lifecycle. This means we'll need to focus on user acquisition, engagement, and rapid iteration based on early feedback.

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