Image Capture

client

Google

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

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