Case Study: Coding Temple doubles retention and boosts Learner NPS with Disco AI

A Disco AI Case Study

Preview of the Coding Temple Case Study

How Coding Temple Doubled Retention & Increased NPS 61% with AI-Powered Learning

The customer, Coding Temple, a tech bootcamp provider, faced a significant challenge with declining program completion rates due to a disjointed user experience for their cohort-based learning programs. After evaluating over 17 platforms, their Chief Product Officer, Ryan Taylor, sought a single, unified solution to deliver engaging and flexible cohort-based experiences, ultimately selecting the Disco AI learning platform.

Disco AI provided an AI-first solution that streamlined curriculum creation and unified students, alumni, and instructors into a single social learning platform. This implementation delivered exceptional results: student retention doubled from 30% to 61%, daily engagement reached 52%, and Learner NPS saw a 23-point increase. Furthermore, Disco AI enabled Coding Temple to drastically reduce program development time and cut operational costs by 90%, transforming their business scalability and student outcomes.


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Coding Temple

Ryan Taylor

Chief Product Officer


Disco AI

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