Spend less time writing docs and more time deciding what to build.
Get the Product Manager briefIn 2026, AI handles much of the routine writing and analysis a Product Manager once did by hand, including drafting PRDs, summarizing user interviews, and tagging support tickets by theme. It also speeds up competitive research and turns scattered feedback into ranked themes you can act on. The result is that PMs spend more of their week on prioritization, stakeholder alignment, and customer conversations rather than document formatting.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Write a product requirements document for [feature name]. The problem is [problem]. Target users are [user type]. Include sections for goals, non-goals, user stories, success metrics, and open questions.Here are notes from [number] user interviews about [topic]: [paste notes]. Identify the top recurring problems, surprising findings, and any disagreement between users. List supporting quotes for each theme.Here is a list of feature ideas: [paste list]. Score each one using the RICE framework with estimates for reach, impact, confidence, and effort. Show your reasoning and rank them.Write an internal launch announcement for [feature]. Audience is [sales and support teams]. Cover what changed, who it helps, how it works, and what teams should do differently. Keep it under 200 words.Convert this customer feedback into clear, testable acceptance criteria: [paste feedback]. Flag anything ambiguous that needs clarification from the customer or engineering.One AI tool, one prompt, and one trick for Product Managers, every weekday morning. Free.