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.
When should an AI-generated PRD be revised?
What should happen when implementation contradicts an approved requirement?
The answer
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.
Trace the changed requirement to affected journeys, designs, data models, APIs, and tests. Update those references together and communicate the new baseline to contributors.
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