25 AI prompts for product managers

3
minutes read
25 AI prompts for product managers
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AI Summary by Glean
  • T
  • It categorizes prompts into key areas: customer insights and market research, roadmap planning and prioritization, competitive analysis, internal communication, and data-driven decision-making, helping teams focus on addressing user needs and strategic planning.
  • By integrating these AI prompts, product managers can streamline processes, make informed decisions, and improve collaboration across teams, ultimately leading to the successful development of products that meet market demands.

Product managers are under constant pressure to make fast, informed decisions — without dropping the ball on day-to-day execution. You’re expected to align stakeholders, define roadmaps, track shifting market signals, and drive feature delivery. It’s a lot.

That’s where AI can help. By taking on the manual work — like summarizing feedback, drafting docs, and analyzing trends — AI lets you focus on what matters most: building great products.

Below are 25 AI-powered prompts tailored to help product managers move faster and make smarter decisions. These are part of Glean’s prompt library, and you can use them out of the box or customize them to your team’s needs.

AI prompts for product managers

Customer insights and market research

1. Identify top customer pain points 

Understand what users are struggling with most.

Summarize the top pain points mentioned in recent customer reviews for [product name].
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3. Aggregate feature requests

Uncover the most common asks across your customer base.

Identify common feature requests from our customer feedback database.
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4. Compare competitor reviews

See how users feel about your competitors — and where you stand.

Compare our product with [competitor’s product] based on recent user reviews.
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5. Generate a user persona

Create a detailed profile of your target user.

Generate a user persona based on our top customers’ characteristics.
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Roadmap planning and prioritization

6. Prioritize feature requests

Focus your team on the highest-impact work.

List the most requested features by our customers and rank them by priority.
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7. Analyze impact vs. effort

Make smarter build decisions using a prioritization matrix.

Analyze the impact vs. effort of the following product features: [list of features].
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8. Create a quarterly release plan

Plan ahead with a timeline that aligns with business goals.

Suggest a release plan for the next three quarters based on our product goals.
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9. Build a roadmap presentation

Quickly generate slides to share your plan with stakeholders.

Generate a roadmap presentation slide for our upcoming quarterly meeting.
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10. Synthesize internal feedback

Incorporate insights from sales and support into your roadmap.

Summarize feedback from our sales and customer support teams about feature gaps.
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Competitive analysis

11. Track competitor feature updates

Stay current on new releases from other players in your space.

Analyze the latest product updates from [competitor’s name] and how they compare to ours.
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12. Assess competitor strengths and weaknesses

Identify areas to beat—or learn from—the competition.

Summarize the strengths and weaknesses of [competitor’s product] based on customer reviews.
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13. Develop a differentiation strategy

Highlight how your product stands out.

List five ways we can differentiate our product from [competitor’s product].
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14. Generate a SWOT analysis

Build a strategic overview of your competitive position.

Generate a SWOT analysis for our product in comparison to [competitor’s name].
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Internal communication and collaboration

16. Draft a stakeholder update

Keep internal teams informed and aligned.

Draft a product update email for our internal stakeholders.
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17. Write a customer interview script

Streamline your prep for user research conversations.

Generate a script for a customer interview about our latest feature release.
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18. Summarize sprint review meetings

Capture key takeaways and next steps from team discussions.

Summarize meeting notes from our last sprint review and highlight action items.
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19. Create a product requirement document (PRD)

Clearly define scope and requirements for a new feature.

Create a product requirement document (PRD) for [new feature].
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20. Summarize beta testing feedback

Turn qualitative feedback into actionable insights.

Generate a summary of feedback from our last beta testing session.
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Data-driven decision-making

21. Analyze product usage

See what features are getting the most engagement.

Analyze product usage data from the last quarter and suggest key insights.
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22. Uncover churn patterns

Identify common traits or reasons among churned users.

Identify patterns in churned customers and suggest retention strategies.
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23. Create an A/B test hypothesis

Design experiments with measurable outcomes.

Generate an A/B testing hypothesis for [feature or design change].
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24. Analyze customer sentiment

Understand how your users feel and why.

Summarize customer sentiment analysis from our recent survey.
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25. Define success metrics

Measure what matters most for your product.

List the top three metrics we should track to measure the success of [feature name].
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Bring AI into your product workflow

These 25 prompts are just a starting point. Glean’s prompt library includes hundreds of ready-to-use prompts for every department — from product to marketing, sales, engineering, and more. Each one is designed to save you time, sharpen your decision-making, and keep your team moving.

Work AI for all.

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