To effectively incorporate feedback from multiple teams in database design: 1. Identify Stakeholders – Engage business, engineering, and analytics teams. 2. Gather Requirements – Conduct meetings, use structured templates, and define key use cases. 3. Draft & Share Schema – Create ERD, balance normalization/denormalization, and share for review. 4. Iterate with Feedback – Collect, prioritize, and discuss trade-offs transparently. 5. Validate & Prototype – Load sample data, test queries, and optimize for performance. 6. Finalize & Document – Get approvals and maintain version-controlled documentation. This ensures alignment, efficiency, and scalability in the database design.

Establish a feedback protocol. The database needs to be used by regular users to see if its functions are a good fit for its purpose. So depending on any major issues not just the executive employees should have a say. The people who use the database daily should also be able to state the issues they are experiencing.

1. Identify Key Stakeholders Ensure all relevant teams, such as engineering, business, data analytics, and operations 2. Host Workshops or Review Meetings Use ERD diagrams to visualize the database structure and facilitate discussions. Apply Domain-Driven Design (DDD) principles to align teams with business domains. 3. Maintain Clear Documentation Use tools like Confluence, Notion, or Google Docs for collaborative feedback tracking. 4. Implement Iterative Prototyping Develop a proof of concept (PoC) or mock database for early validation. Follow an incremental approach, testing small changes before applying them to production. 5. Conduct Regular Reviews and Validation Include database migration reviews with impacted teams.