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Designing an AI nail-sizing experience where 96.6% of first-time users measure accurately.

Timeline:July 2023 – Feb 2024 (8 months)
Team:1 PM, 1 designer, Development agency
Role:Product designer at Kiss Products
myEDIT hero
Impact

I designed myEdit, an AI nail-sizing app for Kiss Products. By iterating on the tutorial guidelines, I achieved a 96.6% measurement accuracy in the final beta test.

Context

Traditional Kiss Products kits ship 32 nail tips per package to fit anyone. The trade-off is a time-consuming sizing process, leaving 22+ extra tips wasted per kit.

To solve this, we kicked off myEDIT to allow consumers to scan their nail size.

32 nail tips per package
32 nail tips per package
Problem

The original tutorial was text-heavy, failing to clearly deliver how to capture the four fingers and thumb. This resulted in a severely low System Usability Scale (SUS) score of 46.7.

Attempting to scan 4 fingers on the tutorial page

Lifting the thumb off the table during capture

SUS score of initial myEDIT app
SUS score of initial myEDIT app
Iteration 1

I redesigned the graphics for better visual clarity.

Redesigned graphics
Redesigned graphics
UT

However, data showed that users skipped the guide in under 3 seconds.

New tutorial with motion graphics
New tutorial with motion graphics
Insight

“Make users watch, not read.”

01. Tutorial for 4 fingers

Focused on guiding users to start their 4 fingers at the table edge, preventing them from lifting their thumb afterwards.

02. Tutorial for thumb

Visually contrasted ‘Do’ and ‘Don’t’ examples to deliver the correct posture.

Outcome

96.6% Success Rate
In the beta test with 89 participants, 86 out of 89 users successfully completed the measurement process.

Beta app link shared by dev agency
Beta app link shared by dev agency
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