How to Use AI to Generate Design Inputs from User Feedback
Every requirement in a regulated product traces back to something a real user needed. When that user comes back with feedback, the hard part is reconciling it against the documented baseline you already have: deciding what is genuinely new, what revises an existing requirement, and what conflicts with an already finalized decision. Often that reconciliation, and the writing that captures it, happens by hand, one note at a time, with edits pointing back to the exact statement that justified them.
AI can now review interview notes and draft the new and revised requirements for you, flagging overlaps, conflicts, and gaps against your current set. A human in the loop approves before anything is final. The judgment stays with real people, the transcription and cross-referencing do not.
What you'll learn
- How to turn voice-of-customer interview notes into drafted new and revised design inputs, each traced to the specific user need
- How to surface overlaps, conflicts, and gaps against your existing requirement set before anything is finalized
- How to review and approve AI-suggested changes before they become part of your baseline, with a human in the loop
Who should attend
Clips from this Webinar
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