Overview
What this challenge is about.
As a 4-person team, deliver: (1) a product concept anchored in Jobs-to-be-Done (when X, I want Y so I can Z); (2) a Figma prototype of the full flow; (3) a partially functional prototype implementing the core tutoring loop on a hosted LLM API; (4) a user study with 8 university math students measuring task completion plus a Net Promoter Score (NPS) proxy; (5) a 20-slide pitch deck plus 1-page business case (TAM/SAM/SOM, unit economics estimate). The pitch must include an honest discussion of LLM hallucination risk in a tutoring context.
The Brief
What you'll do, and what you'll demonstrate.
Take an LLM-powered math-tutoring concept from JTBD to a working pitch with prototype, user-study evidence, and business case.
Earning criteria — what you'll demonstrate
- Translate a JTBD into a designed product flow
- Prototype an LLM-powered feature with realistic constraints
- Run a small user study with honest reporting
- Build a business case investors will actually read
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
AI Product Designer
Owning an LLM-product design end-to-end from JTBD to pitch is exactly the AI product designer's contribution in edtech startups.
This challenge sharpens
- product-design
- user-research
- prototyping
AI Product Manager
Translating a working prototype into a credible business case is the AI PM's bridge between team and investor.
This challenge sharpens
- business-case-development
- user-research
- llm-evaluation
Prompt Engineer
Designing the tutoring loop's prompts and naming hallucination mitigations is the prompt engineer's contribution to a serious LLM product.
This challenge sharpens
- llm-evaluation
- prototyping
- product-design