Lead product strategy with AI doing the heavy lifting on research and synthesis.
Get the Product Director briefIn 2026, AI handles much of the manual work behind product decisions: clustering thousands of support tickets and reviews into themes, drafting PRDs from rough notes, and summarizing competitor releases. Product Directors now spend less time compiling status reports and customer research and more time on prioritization tradeoffs and cross-team alignment. The shift is from gathering information to judging it.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Here is a set of customer feedback entries: [paste feedback]. Group them into 5 to 8 themes, rank by frequency, and note which themes map to revenue risk versus retention risk.Write a product requirements document for [feature name] aimed at [user segment]. Include problem statement, goals, non-goals, success metrics, and open questions. Use these notes: [paste notes].We are prioritizing [feature A] over [feature B] this quarter. Argue the strongest case against this decision, list assumptions we may be wrong about, and suggest what evidence would change our mind.Summarize the product implications of this competitor announcement for our team: [paste announcement]. Note what they shipped, who it threatens, and 3 possible responses ranked by effort.Turn these raw notes into a one-page update for the executive team: [paste notes]. Lead with outcomes and decisions needed, keep it under 300 words, and flag any risks to quarterly goals.One AI tool, one prompt, and one trick for Product Directors, every weekday morning. Free.