What Face ID taught us about AI product design.
An AI skin analysis app needed a face scan that felt intuitive, trustworthy, and medically precise.
Our first idea was a full-screen scan. More room, less clarity:
users couldn't see their progress,
zone markers cluttered the screen,
and the whole thing felt too technical.
So we studied Apple's Face ID. It does two things beautifully: it focuses attention and guides users naturally.
Copying the circle wasn't enough. It left too little of the face visible and no room for progress or guidance. So we kept the principle and changed the shape: an oval frame that shows more skin, carries progress indicators, and guides without clutter.
Great product teams don't copy interfaces. They borrow principles and adapt them to their users. In onboarding, those small decisions decide whether the first scan earns trust, and trust is where retention starts.
See the AI skin analysis case study.
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Borrow a great interface's principle, then adapt it to your users. An AI skin analysis app kept Face ID's principle and swapped the circle for an oval.
Key points:
A full-screen scan gave more room, but testing showed no clear progress tracking, zone indicators that cluttered the screen and an overly technical feel.
Apple's Face ID focuses attention and guides users naturally.
A copied circle showed too little of the face, with little room for progress indicators or guidance.
An oval frame shows more of the face, fits the scan progress inside and guides without clutter.
Most useful for AI and digital health teams whose onboarding must earn trust.