1
What is your product's core purpose and vision?
Define the fundamental problem your product solves and its primary value proposition. This helps AI understand the context and make intelligent architectural decisions.
2
Who are your users and what are their key use cases?
Understanding user personas and their workflows enables AI to suggest appropriate UI patterns, data structures, and feature prioritization.
3
What are the essential features and their priorities?
Detailed feature specifications with priorities help AI understand the MVP scope and generate appropriate code architecture and implementation order.
4
What are your technical requirements and constraints?
Technical constraints guide AI toward appropriate technology choices, architectural patterns, and implementation approaches.
5
How will you measure success and what business rules apply?
Success metrics and business logic help AI understand validation requirements, analytics needs, and complex business rule implementation.