Q&A: designing AI features that users forgive when they are wrong
A design lead on why her team stopped chasing accuracy alone, the edit-rate metric they track instead, and the small interface changes that halved complaints.
AI product and interaction design
Inês designed AI features for a fintech app and a writing tool before joining the desk. She writes about agents, latency as a design material and building features that users forgive when they are wrong.
A design lead on why her team stopped chasing accuracy alone, the edit-rate metric they track instead, and the small interface changes that halved complaints.
Users judge a chat feature in the first second and a half. How to split that budget across network, guardrails, retrieval and the model, and what to show while they wait.
An agent that is right 97% of the time still makes dozens of wrong moves a day. Reversibility, not accuracy, makes that tolerable. An argument, with a pattern.