Uber Deploys 4-Step AI PRD Evaluator, Used by Dozens of PMs

4 articles · Updated · Uber · May 13

Dozens of Uber product managers are already using an internal AI PRD Evaluator that reviews draft product requirement documents before they reach formal approval forums.
The tool was built to catch blind spots earlier in Uber’s checkpoint process, where PRDs often arrive missing prior experiment context, cross-functional dependencies, guardrails or second-order risks.
Its 4-step workflow builds a broader knowledge base around each PRD, classifies the proposal by review intensity, scores launch readiness across multiple dimensions, and returns a prioritized action scorecard with suggested rewrite text.
Uber says the evaluator is designed to improve the quality of documents entering review—not replace senior judgment—with early use helping PMs pressure-test assumptions and sharpen later review discussions.
The company argues the broader pattern could extend beyond Uber: AI works best as an upstream decision-support layer that strengthens human review rather than automating final approvals.

With AI now reviewing product strategy, what is the new, irreplaceable core skill for human product managers?

As AI optimizes product documents, does it unintentionally kill the bold, unconventional ideas that lead to breakthroughs?