Problem:
Objective and Goals
examine current user behaviors and preferences with ordering from restaurants online and opportunities for voice-powered interactions to enhance the overall experience.
My Process
Ideate
Creating a UI for an AI that doesn’t exist. Seamlessly integrating familiar ordering habits on a brand new platform.
Discover
Define
Discover
User Interviews
Insights:
Ordering preferences:
users prefer to order by phone when in a hurry or if they are familiar with the restaurant
Personalization and customization options are important to users
Reviews and deals influence ordering choices for some users
Delivery Considerations:
Delivery time and cost are important factors when deciding what to order
Delivery services and apps are preferred by some due to convenience and variety
Some users avoid ordering menu items that do not travel well
AI integration concerns:
Users are wary of AI and have concerns about privacy and accuracy
Users are interested in AI ordering systems but want to retain control over their decisions
Voice prompts and the human-like voice of AI are preferred by some users
Define
Task Flow
Ideate
Wireframes
Final Screens
Video Demo:
what is Virnika AI?
white-label product, white-glove service. Virnika creates digital employees to answer the phone, work the drive-thru, or act as cashier to boost restaurants profit margins.
Role: UI/UX designer
Duration: 3 weeks
Tools: Figma, FigJam
Design
Five user interviews were conducted via Zoom, representing a diverse cross-section of the target demographic. Our objective in conducting user interviews was to discover areas of opportunities with existing online food ordering services and introduce methods and visual elements to streamline the process with voice-ordering powered by AI. These interviews laid the foundation for our affinity mapping resulting in “I” statements.
Competitor Analysis
Competitors include:
Kea.AI
Toast
Presto
Spot Hopper
SoundHound AI
Prospective User Journey Map
Design
Restaurant preferences:
Some users prefer to order directly from restaurants rather than using delivery apps
Delivery from restaurants is often preferred over delivery services
Users have specific preferences for certain restaurants and cuisines
Price Considerations:
Some users prefer restaurants with lower-cost menu items and deals
Unexpected fees and additional costs can lead to cart abandonment
Sorting options by delivery costs and comparing prices are common practices
I identified a few major challenges after personally using and observing the above websites. After this analysis, I also read through many Google reviews to realize the most common problems:
Reliance on Hardware
Accessibility(accents, voice impairment)
Internet dependence
Software updates