Google Aye
A scalable feature concept that helps groups decide where to eat—faster.
A scalable feature concept that helps groups decide where to eat—faster.
A scalable feature concept that helps groups decide where to eat—faster.
Role
UX/UI Designer - 3 Designers
Duration
Nov 1 - Nov 2, 2025
Platform
Mobile Experience
Tools
Figma · Design Systems · Rapid Prototyping
The Problem
Group dining decisions are time-consuming and frustrating, often resulting in endless back-and-forth conversations.
Research showed that:
People spend 132 hours per year deciding where to eat
Group decisions can take 25 minutes or more
Preferences like budget, dietary needs, and location are often overlooked
This leads to decision fatigue, exclusion, and stalled outcomes.
The Problem
Group dining decisions are time-consuming and frustrating, often resulting in endless back-and-forth conversations.
Research showed that:
People spend 132 hours per year deciding where to eat
Group decisions can take 25 minutes or more
Preferences like budget, dietary needs, and location are often overlooked
This leads to decision fatigue, exclusion, and stalled outcomes.
The Problem
Group dining decisions are time-consuming and frustrating, often resulting in endless back-and-forth conversations.
Research showed that:
People spend 132 hours per year deciding where to eat
Group decisions can take 25 minutes or more
Preferences like budget, dietary needs, and location are often overlooked
This leads to decision fatigue, exclusion, and stalled outcomes.
Reduce time spent on group decision-making
Make decisions feel inclusive and fair
Design a solution that fits naturally within Google’s ecosystem
Goals
Reduce time spent on group decision-making
Make decisions feel inclusive and fair
Design a solution that fits naturally within Google’s ecosystem
Goals
Reduce time spent on group decision-making
Make decisions feel inclusive and fair
Design a solution that fits naturally within Google’s ecosystem
Goals
Designed within an 18-hour hackathon timeframe
Small team of three designers
Required a clear, feasible concept with minimal screens
Constraints
Designed within an 18-hour hackathon timeframe
Small team of three designers
Required a clear, feasible concept with minimal screens
Constraints
Designed within an 18-hour hackathon timeframe
Small team of three designers
Required a clear, feasible concept with minimal screens
Constraints
My Role
I was responsible for:
Designing layouts, components, and visual hierarchy
Applying design system principles for speed and consistency
Iterating rapidly based on mentor feedback
My Role
I was responsible for:
Designing layouts, components, and visual hierarchy
Applying design system principles for speed and consistency
Iterating rapidly based on mentor feedback
My Role
I was responsible for:
Designing layouts, components, and visual hierarchy
Applying design system principles for speed and consistency
Iterating rapidly based on mentor feedback
Research & Insights
Research and team discussions revealed:
Research & Insights
Research and team discussions revealed:
Research & Insights
Research and team discussions revealed:
1
Group indecision is a shared, emotional pain point
1
Group indecision is a shared, emotional pain point
1
Group indecision is a shared, emotional pain point
2
Users want fewer steps, not more options
2
Users want fewer steps, not more options
2
Users want fewer steps, not more options
3
Simple automation can feel relieving when preferences are transparent
3
Simple automation can feel relieving when preferences are transparent
3
Simple automation can feel relieving when preferences are transparent
These insights reinforced the idea that the solution should be a feature, not a standalone product.
Early Concepts & Prototypes
Early concepts explored:
Manual voting vs. automated decision logic
How to visualize group compatibility
Reducing cognitive load with minimal inputs
Wireframes focused on guiding users quickly from preference input to a final decision.
Early Concepts & Prototypes
Early concepts explored:
Manual voting vs. automated decision logic
How to visualize group compatibility
Reducing cognitive load with minimal inputs
Wireframes focused on guiding users quickly from preference input to a final decision.
Early Concepts & Prototypes
Early concepts explored:
Manual voting vs. automated decision logic
How to visualize group compatibility
Reducing cognitive load with minimal inputs
Wireframes focused on guiding users quickly from preference input to a final decision.
A closer look & more
Design Direction
The design direction emphasized clarity, speed, and trust.
Design Direction
The design direction emphasized clarity, speed, and trust.
Design Direction
The design direction emphasized clarity, speed, and trust.
Final Solutions
Final Solutions
Final Solutions
Preference Syncing
Users input dietary, budget, and distance preferences once.
Preference Syncing
Users input dietary, budget, and distance preferences once.
Preference Syncing
Users input dietary, budget, and distance preferences once.
Groups + Events
Users can make multiple groups to plan multiple events and see past events.
Groups + Events
Users can make multiple groups to plan multiple events and see past events.
Groups + Events
Users can make multiple groups to plan multiple events and see past events.
Ranked Recommendations + Automatic Decision
Options are ranked based on group compatibility. A final choice is selected, eliminating prolonged indecision while remaining transparent.
Ranked Recommendations + Automatic Decision
Options are ranked based on group compatibility. A final choice is selected, eliminating prolonged indecision while remaining transparent.
Ranked Recommendations + Automatic Decision
Options are ranked based on group compatibility. A final choice is selected, eliminating prolonged indecision while remaining transparent.
A closer look & more
Reflection
Reflection
Reflection
Google Aye demonstrated how small, thoughtful design decisions can solve deeply human problems. This project strengthened my ability to work under pressure, apply design systems effectively, and balance user needs with business considerations—all within an extremely limited timeframe.
Google Aye demonstrated how small, thoughtful design decisions can solve deeply human problems. This project strengthened my ability to work under pressure, apply design systems effectively, and balance user needs with business considerations—all within an extremely limited timeframe.
Google Aye demonstrated how small, thoughtful design decisions can solve deeply human problems. This project strengthened my ability to work under pressure, apply design systems effectively, and balance user needs with business considerations—all within an extremely limited timeframe.