Ship better products with AI handling the busywork.
Get the Senior Product Manager briefIn 2026, AI is taking over much of the manual work in product management, like turning raw user interviews into themed insights, drafting PRDs from rough notes, and summarizing support tickets into prioritized problems. It also speeds up competitive analysis and helps draft release notes and stakeholder updates. The result is more time spent on strategy and customer conversations rather than documentation.
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 [user problem], the target users are [user segment], and the goal is [business goal]. Include sections for problem statement, goals, non-goals, user stories, and success metrics.Here are notes from [number] user interviews: [paste notes]. Identify the top 5 recurring problems, rank them by how often they appear, and quote a representative user statement for each.Score these features using the RICE framework: [list features with reach, impact, confidence, effort estimates]. Show the math and rank them from highest to lowest priority.Draft a stakeholder update for the launch of [feature]. Audience is [executives or team]. Cover what shipped, the metrics we are watching, known issues, and next steps. Keep it under 200 words.I want to build [feature] to solve [problem]. Argue the strongest case against building this, list 3 risks, and suggest 2 cheaper experiments to test the assumption first.One AI tool, one prompt, and one trick for Senior Product Managers, every weekday morning. Free.