Build the PRD for an Internal RAG Knowledge Assistant
Overview
What this challenge is about.
Write a PRD for an internal RAG assistant using CS workflows and source docs. Define metrics, user stories, and risks. Get a verifiable certificate.
The scenario
The SaaS (around 600 staff, around USD 80M ARR, 400 CS reps across 3 regions) has tried two internal-tools projects already; the third attempt has 6 months of runway before patience runs out.
The Brief
What you'll do, and what you'll demonstrate.
Write a defensible PRD for a RAG knowledge assistant that the CS org can hold engineering accountable to.
Earning criteria — what you'll demonstrate
- Scope a RAG product with explicit goals and non-goals
- Design evaluation that distinguishes offline (faithfulness) from online (deflection) signals
- Reason about the failure modes specific to RAG (hallucination, stale data, retrieval miss)
- Communicate AI-product trade-offs to a non-engineering VP
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
AI for Business and AI Product Management
Master · Applied Ai
Strong alignment
This challenge maps to AI for Business and AI Product Management at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Product Management
Define product vision, prioritize features, and drive cross-functional delivery.
- Retrieval Augmented Generation
Apply retrieval augmented generation to solve real industry problems and demonstrate production-level capability.
- Evaluation Design
Apply evaluation design to solve real industry problems and demonstrate production-level capability.
- Stakeholder Analysis
Apply stakeholder analysis to solve real industry problems and demonstrate production-level capability.
- Prd Writing
Apply prd writing to solve real industry problems and demonstrate production-level capability.
- Ai Strategy
Apply ai strategy to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Manager
Writing a defensible AI-product PRD with explicit goals, non-goals, and evaluation is the canonical AI PM portfolio piece.
This challenge sharpens
- product-management
- prd-writing
- evaluation-design
AI Product Designer
PRD-quality scoping with user-flow diagrams is the bridge into AI product designer roles at companies that pair PM + design tightly.
This challenge sharpens
- product-management
- stakeholder-analysis
- prd-writing