product-manager-prompts

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Basic Information

This repository is a curated collection of generative AI prompts specifically designed for product managers and product owners. It provides ready-made, commented prompts that users can copy and paste into mainstream AI assistants such as ChatGPT, Claude, and Gemini. The prompts support common product management activities including writing user stories, crafting product roadmaps, conducting competitive analysis, brainstorming feature ideas, validating hypotheses, developing user personas, performing market and competitor research, structuring product discussions, framing interview questions, and generating templates like roadmaps and business model canvases. The README emphasizes treating the prompts as code, using the code view to include instructive comment blocks, and following a prompting style guide in the repo. The project also invites contributions, community discussion, and iterative improvements by product practitioners.

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Features
A structured library of prompts stored in a prompts folder with detailed comment blocks that guide AI behavior and goals. Compatibility and testing notes indicating the prompts have been exercised on ChatGPT Plus, GPT-4o, GPT-3.5, Claude Opus and Sonnet, and Gemini 1.0. A prompting style guide is included to help users iterate and improve prompts. Ready-to-use templates for user stories, roadmaps, and business model canvases are provided to jumpstart common deliverables. Contribution guidance and a quick Git guide explain how to fork, branch, commit, and open pull requests. The repository is licensed under the MIT License. The README also highlights community engagement via issues and discussions and mentions an associated workshop for learning how to apply the prompts.
Use Cases
The repo helps product managers accelerate routine and creative work by offering structured, tested prompts for generative AI that address planning, research, and communication tasks. Users can quickly generate user stories, roadmap drafts, competitive analyses, personas, interview guides, and presentation outlines without composing prompts from scratch. The annotated prompts and style guide make it easier to reproduce results across different AI models and to refine instructions for specific outcomes. The contribution workflow invites practitioners to share improvements and examples, fostering a growing, community-driven resource. The MIT license enables reuse and modification, and the README points to an educational workshop for those who want guided instruction on integrating these prompts into product strategy work.

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