Personalized EdTech Program Launch

GT School (now LearnWith.AI) developed an AI-powered EdTech program to revolutionize learning for K-12, AP, and SAT students. The focus was on personalizing educational experiences using AI, with close collaboration across teams in strategic planning, product development, and AI prompt engineering. Customer enablement was prioritized through iterative user testing, product development, and intuitive UX design.

The goal was to deliver a beta version within two quarters, covering eight K-12 and AP courses. The project also aimed to equip teams for rapid product development while enabling continuous improvements to personalized learning. Additionally, customer enablement was a key priority, ensuring the program was accessible and easy for students to adopt. 

The product development process included:

• Market & Customer Research: Generating AI learning content concepts based on tech and customer criteria
• Team Enablement: Creating knowledge bases, process flows, and KPIs for fast collaboration
• Agile Cross-Team Collaboration: Aligning with SMEs, Engineering, and Product teams on curriculum, quality, and integration
• AI Prompt Engineering: Automating content creation tailored to student needs
• SME & User Testing: Conducting iterative A/B testing for UI and content optimization
• Product Specs & User Flows: Creating product specs and user flows based on customer feedback
• Integration & Beta Launch: Launching a beta with five types of content for testing
• Content Improvement: Refining content based on feedback, expanding to more courses 

Each team member owned specific product domains. I led the K-12 Science domain, overseeing the development and launch of three content types. My responsibilities included:

• Planning the strategic product development roadmap
• Enabling teams across functions and time zones with clear roadmaps, documentation, and process flows
• Coordinating daily with SMEs and Strategy & Operations teams
• Developing product specs, user flows, and UI wireframes
• Integrating user feedback into the K-12 Science domain
• Supporting customer adoption with clear communication and intuitive UI

Our team integrated five product domains into the AI EdTech app within two quarters, including three K-12 Science content types I supervised. Adoption was rapid, with beta feedback confirming the app creates personalized learning pathways, accelerating progress. AI versions achieved 5x faster milestone attainment than non-AI.

Team enablement was equally successful—teams quickly adopted new AI development processes, enabling faster iterations and continuous product improvement, enhancing student learning on a daily basis.

The AI-powered EdTech program unlocked a scalable product, increasing accessibility to personalized learning. By tailoring content, the program enables students to progress at their own pace, fostering more effective and meaningful educational outcomes.