AI Product Management Prompts

Write a Product Requirements Document for [feature]. Include: problem statement with user research evidence, success metrics (leading and lagging), user stories in "As a [user], I want [goal], so that [benefit]" format, acceptance criteria for each story, out of scope items, technical considerations, and rollback plan. Audience: engineering team.

Help me prioritize these features: [list features]. For each, estimate: impact on [key metric] (1-10), implementation effort (t-shirt size), confidence in the impact estimate (high/medium/low), and dependencies. Then rank using RICE scoring and explain your reasoning. Highlight any features where the ranking surprises you and why.

Write detailed user stories for [feature/epic]. User types: [list personas]. For each story: "As a [persona], I want [action], so that [value]." Add acceptance criteria (given/when/then format), edge cases to consider, and design questions that need answering. Group stories by priority (must-have, should-have, nice-to-have).

Write a stakeholder update for [product/project]. Audience: [executives/cross-functional team]. Cover: progress vs. plan (use traffic light status), key wins this sprint, risks and mitigation plans, upcoming decisions that need input, and timeline changes (if any). Be honest about problems without being alarmist. Under 300 words.

Analyze [competitor product] vs. our product for [use case]. Compare: feature coverage, user experience quality, pricing and packaging, integration ecosystem, and customer sentiment. Identify: features they have that we don't (and whether they matter), our advantages they can't easily copy, and the 1 feature we should build next based on this analysis.