Lessons from Building a First-Pass AI PRD Reviewer at Uber

What this post added

This post details the evolution and lessons learned from building the AI-Powered PRD Evaluator. It describes the system's four-step process: building a knowledge base, classifying PRDs, assessing launch readiness across dimensions (Opportunity/Hypothesis, Product Scope, User Experience/Impact, Metric/Data Rigor), and producing an actionable scorecard. Key learnings include the importance of frameworks over generic critique, context over language quality, hard boundaries for honest output, prioritization of action items, and the AI's role in improving human conversations. The post emphasizes that the tool strengthens artifacts before expert review and doesn't replace human judgment.