Build an AI-assisted PRD critique workflow

AI Critique: Senior PMs Should Focus on Hard Problems, Not Typos

Senior PM time is the scarcest resource in a product org, and PRD critique consumes disproportionate amounts of it on issues AI can catch. Reforge's AI adoption research and Anthropic's research on AI-assisted writing both document the workflow pattern: AI handles the checklist gaps (missing metrics, unclear scope, weak evidence), senior PMs focus on strategic judgment and hard tradeoffs.

How the Build an AI-assisted PRD critique workflow Prompt Works

The prompt designs a five-step workflow where AI critiques before human review, sets quality gates on gap coverage, and names the category where AI critique is least reliable. The time-savings output is the ROI check — if the workflow does not save senior PM time, it is not worth implementing.

When to Use It

• Senior PM time is consumed by basic PRD review.
• PRD quality is variable across the team.
• A new PM team needs uplift on documentation quality.
• A previous PRD missed a critical risk that a checklist would catch.
• An AI workflow initiative is looking for high-value PM use cases.

Common Pitfalls

• AI as replacement, not assistant. AI critique catches structural gaps; it does not replace senior judgment on strategic tradeoffs.
• No quality gates. Without a gap-coverage target, AI critique becomes a suggestion nobody acts on.
• Ignoring unreliable categories. AI misses some things reliably. Name the category and keep humans in the loop there.

Sources

• AI Adoption in Product Orgs — Reforge
• Anthropic Research — Anthropic
• The Pragmatic Engineer — Gergely Orosz
• The Product Manager — Silicon Valley Product Group