How can AI identify missing fields or relationships in a database design?

How can AI identify missing fields or relationships in a database design?

AI can identify potential gaps in a database design by comparing the schema with the actions the product must support. It is most useful as a structured reviewer when it receives requirements, field definitions, example records, and the important access rules.

Review complete user journeys

Ask the assistant to trace a workflow from beginning to end. For an invitation flow, it should explain how an organizer selects a guest, chooses events, sends an invitation, and later sees the response.

If the schema stores only a guest name and a single attendance flag, this walkthrough may expose missing invitation state or event-level responses. The assistant should explain which requirement cannot be represented, rather than simply producing a longer list of fields.

Test relationships and lifecycle changes

Provide scenarios such as a guest changing an answer, an event being canceled, or a collaborator leaving a wedding. Ask what records change and what must remain consistent.

This can reveal missing wedding ownership, unclear deletion rules, or references that permit invalid assignments. Request a distinction between essential fixes, optional improvements, and questions that require a product decision.

Validate findings with examples

Have the assistant show a small example for each claimed gap: the current records, the user action, and the information that would be lost or misrepresented. Concrete examples make unsupported suggestions easier to reject.

Use synthetic records rather than real guest contact details when reviewing a design. A developer should verify the findings against expected queries and the chosen database's behavior. Update the schema and related API contract together so a newly added relationship is represented consistently from storage through the interface.