The answer
Trace the changed requirement to affected journeys, designs, data models, APIs, and tests. Update those references together and communicate the new baseline to contributors.
When should an AI-generated PRD be revised?
How can a team keep PRD revisions consistent with related documents?
More FAQs in When should an AI-generated PRD be revised?
No. Evaluate the suggestion against user needs, scope, and available evidence. Revise the agreed requirements only when the responsible decision-maker chooses to adopt the change.
Investigate whether the code is incorrect or new evidence justifies changing the requirement. Resolve that decision explicitly before updating either the product behavior or its documentation.
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