Image Capture
client
project scale
6M global users
100+ local influencers
80K+ community members
Users spread across 190+ countries around the world
330K+ weekly active users
1M+ answers from users around the world everyday
my role
UX Designer, UX Researcher, Accessibility SME
skills applied
UX design
UX research
Graphic design
Google Material
Accessibility
Brand guidelines
Prototype
challenge statement
How might we simplify the interaction flow and provide friction free experience?
The process
problem space
Image Capture was an existing feature made for Crowdsource by Google users to label and donate their photos to improve Google machine learning models. However, the participation rate was far from ideal.
Existing flow
Primary usability issues
poor onboarding
"Help me understand before I commit"
unexpected behavior
"I close the camera every time it opens"
unclear UI
"I can not upload the photos from the gallery. It goes directly to the camera without giving me another option"
unexpected behavior
"I tap on the categories but nothing happens"
" ... " user quotes
design idea 1
Labeling tips
design idea 2
Smart filtering
cognitive walkthrough
Conducted 2 rounds (12 participants) of cognitive walkthrough testing to understand user feedback
study findings
Users expected to see examples upfront
Users didn't pay attention to the filter drawer
build
Discussed feasibility with engineers in other country
Based on key findings from the studies, iterated the design and made click through prototype
New flow
The results
statistic
Helped Google generate 34K user donated images in one month and 1.5M images in one quarter
user benefits
Cut returned user flow from 4 steps to 1 step
Proper onboarding and meet user expectations
Retrospective
Optimizing the flow more thoroughly and prioritize the flow better
Creating a better way to communicate copy edits with engineers