AI Requirements Assistant for Product Managers
Product managers spend 40% of their time writing PRDs, user stories, and acceptance criteria, repetitive documentation work that AI could handle. Mia positions as "Cursor for PMs," offering an AI workspace that understands product context and generates specification documents from conversational input.
Problem Statement
PMs draft PRDs by combining stakeholder conversations, user research, and technical constraints into structured documents. This synthesis takes 4-8 hours per feature. Generic AI tools help with writing but lack product context — PMs re-explain their product, users, and technical stack every time they use ChatGPT.
The Idea
An AI-powered product management workspace that generates PRDs, user stories, and technical specifications from natural language conversations, maintaining product context across sessions.
Why Now
Cursor and AI coding tools proved that context-aware AI assistants work best when embedded in the professional's daily workflow tool. PMs still use generic AI chatbots for document generation, losing context between sessions. The "Cursor for X" pattern is spreading to adjacent knowledge work roles.
Target User
Product managers at B2B SaaS companies with 20-500 employees who write 2-4 PRDs or feature specs per sprint.
Target Market
Product management tools, AI productivity, B2B SaaS
The full brief is free to read
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- MVP scope & feature boundaries
- Step-by-step validation plan
- Score rationale across 11 dimensions
- Monetization model & pricing angle
- Competitors with links
- Acquisition channels & go-to-market
- Risks & counter-evidence
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