AI Prompts for Claude for Product Managers

I have these customer interview notes from [N] interviews about [PRODUCT AREA]: [PASTE NOTES]. Synthesize the key themes, unmet needs, and surprising findings. Flag any contradictions between what users say they want and what they actually seem to need.

Analyze these support tickets and user complaints: [PASTE DATA]. Identify the top pain points by frequency and severity. Suggest which ones represent product opportunities versus process or communication issues.

I am exploring the market for [PRODUCT IDEA]. Who are the main competitors, what jobs-to-be-done does this market serve, and what gaps do existing solutions leave? Give me a structured landscape analysis.

Help me write a research plan for validating [ASSUMPTION OR HYPOTHESIS]. What methods should I use, what questions should I ask, and what outcomes would confirm or disconfirm the hypothesis?

Summarize this market report or analyst document: [PASTE TEXT]. Extract the findings most relevant to [PRODUCT AREA] and identify implications for our product strategy.

Help me write a product strategy one-pager for [PRODUCT OR FEATURE AREA]. Our goal is [GOAL], our target users are [USERS], and our key bets are [BETS]. Make it concise enough to share with executives and specific enough to guide the team.

I need to prioritize this backlog: [LIST FEATURES/REQUESTS]. Our current strategic priorities are [PRIORITIES]. Help me score each item using [RICE / MOSCOW / ICE] and explain the rationale for the top-ranked items.

I need to say no to [STAKEHOLDER REQUEST]. The request is [DESCRIPTION]. Our current roadmap priorities are [PRIORITIES]. Help me write a diplomatic but clear response that acknowledges their need without committing to the work.

Write a product vision statement for [PRODUCT]. Users: [TARGET USERS]. Problem we solve: [PROBLEM]. Why we win: [DIFFERENTIATOR]. Make it inspiring enough to motivate the team and specific enough to be useful for decision-making.

Help me evaluate these three strategic options for [PRODUCT DECISION]: [OPTION A], [OPTION B], [OPTION C]. What are the assumptions behind each, the risks, the upside, and the reversibility? Help me think through the decision, not just list pros and cons.

Write a PRD for [FEATURE]. User problem: [PROBLEM]. Proposed solution: [DESCRIPTION]. Success metrics: [METRICS]. Key constraints: [CONSTRAINTS]. Include user stories, acceptance criteria, and open questions.

Convert this feature description into user stories: [DESCRIPTION]. Write them in the format "As a [USER TYPE], I want to [ACTION] so that [OUTCOME]." Include edge cases and unhappy paths.

I need to brief engineering on [FEATURE]. Write a technical requirements document that is precise about what we need without prescribing implementation. Flag the decisions that should be made by engineering.

Help me write a launch plan for [FEATURE]. Include internal comms, sales enablement, customer communication, and success metrics. Audience: [TEAMS INVOLVED].

Write a stakeholder update on [PROJECT]. Current status: [STATUS]. Key decisions made: [DECISIONS]. Upcoming milestones: [MILESTONES]. Blockers: [BLOCKERS]. Keep it brief and decision-focused.

Help me define success metrics for [FEATURE]. Our goal is [GOAL]. What leading and lagging indicators should we track, and what thresholds would tell us the feature is succeeding or failing?

I launched [FEATURE] two weeks ago. Here are the metrics: [PASTE DATA]. Interpret these results, is the feature performing as expected? What hypotheses explain the numbers, and what experiments should I run next?

Write a retrospective for [PROJECT OR FEATURE]. What went well: [LIST]. What did not: [LIST]. What we would do differently: [LIST]. Make it honest and useful for the team, not a political document.

I need to make a go / no-go decision on [FEATURE] based on these beta results: [DATA]. What does the data actually say, what is still uncertain, and what would you recommend?

Help me design an A/B test for [HYPOTHESIS]. What should the control and variant be, how do I size the experiment, what metrics do I track, and what would constitute a meaningful result?