Engineering Blueprint
Feature Discovery
Systematically identify critical features during platform migration by combining AI-assisted codebase exploration, stakeholder alignment, and UX prototyping to ensure confident scope decisions.
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What does this do
Product managers migrating a large sales/advisors org from a legacy system to a new platform need to systematically identify which features are critical to migrate, which can be improved during the move, and which can be safely cut. The legacy system lacks proper documentation and no single person knows the entire feature set, making it difficult to capture all existing capabilities and make confident scope decisions across business, tech, and design teams.
How It Works
1. User provides rough feature concept. 2. AI agent restates understanding for confirmation. 3. Agent runs codebase exploration (find patterns, constraints, dependencies) and external research (similar products, libraries, best practices). 4. Map open questions on functionality, UX/UI, and business rules by priority. 5. For feature parity initiatives, explicitly validate that no legacy features are silently deferred. 6. Identify natural release phases based on dependency chains and incremental value. 7. Propose UX/UI directions with clear context and phase tags. 8. Compile discovery document with research findings, questions, proposals, and decision log. 9. On request, generate stakeholder review CSV for meetings. 10. Build functional prototype with mock data on throwaway branch for UX evaluation. 11. Ingest stakeholder meeting notes to iteratively resolve decisions and update scope.
About This Blueprint
- Industry
- Computer Software
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