what metrics would you use to evaluate lambda school's online learning platform?

Introduction

Evaluating Lambda School's online learning platform requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us gain a holistic view of the platform's performance and identify areas for improvement.

Step 1

Product Context

Lambda School's online learning platform is a comprehensive e-learning solution designed to provide intensive, career-focused education in technology fields. The platform serves two primary stakeholders: students seeking to acquire in-demand skills and transition into tech careers, and employers looking for well-trained talent.

Key stakeholders and their motivations:

1. Students: Gain marketable skills, secure high-paying jobs, and minimize financial risk
2. Instructors: Deliver effective education and support student success
3. Employers: Access a pool of qualified candidates
4. Lambda School: Generate revenue, maintain high job placement rates, and scale operations

User flow: Students enroll in courses, engage with interactive content, complete assignments, participate in live sessions, and receive mentorship. They progress through modules, work on projects, and ultimately prepare for job placement. Instructors create and deliver content, provide feedback, and support student learning throughout the process.

Lambda School's platform fits into the broader strategy of disrupting traditional higher education by offering an alternative path to high-paying tech jobs. It competes with traditional coding bootcamps, online course providers like Udacity and Coursera, and to some extent, traditional computer science degree programs.

In terms of product lifecycle, Lambda School's platform is in the growth stage. It has proven its concept and is now focused on scaling operations, improving outcomes, and refining its model.