The answer
Compare the revised screen against the specific issue and acceptance criteria that motivated the change. Check whether the target user can complete the relevant task more clearly.
Why should AI-generated designs be refined through multiple iterations?
How can a team tell whether a design iteration improved the dashboard?
More FAQs in Why should AI-generated designs be refined through multiple iterations?
Keeping successful choices stable helps isolate the effect of a revision. Broad changes can introduce new inconsistencies and make it difficult to tell which adjustment solved the original problem.
It is ready for the next increment when the intended flow, content, major states, and responsive expectations are clear enough to build and review against agreed acceptance criteria.
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