AVA is a customized meal food delivery application which allows its users to customized their weekly meals based on their dietary and food preferences.
Nowadays people with their busy schedule barely have time to cook and they end up spending money on unhealthy meals and eating outside. Having help on the preparation of your meals and delivering it to you is what got this app started.
My Role
Timline
My Team
Lead Product Designer I led my team through a holistic end-to-end design process, starting from generative research, to analysis, to ideation, iteration, and testing.
One Year
Me (Lead Product Designer) 3 UX Researchers 1 Product Manager
Access Matters
saving time, staying stress free and maintaining a healthy diet is a great option to have in our todays busy life.
Section
Section
Section
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Study Details.
Themes.
Insights & Recommendations.
Study Details
Background
Nowadays people with their busy schedule barely have time to cook and they end up spending money on unhealthy meals and eating outside. Having help on the preparation of your meals and delivering it to you is what got this app started.
Had Hard Time Navigating Through
1 out of 510%
Found Application Features Useful
1 out of 510%
Didn't complete the task
2 out of 520%
Research Questions
Participants
Methodology
What is the user’s timing on the app?
What are the preferences of the user on delivery options?
Is pricing reasonable?
Are they looking for more meal personal customization or do they prefer a ready package.
How easy they can check in/check out.
How often they come back to the app for orders.
5 participants
2 Female
2 Male
1 non binary
1 student
1 single parent and
2 employee
5-10 minutes US Usability study users were asked to look at a live product or a prototype
Author: Sara Moomsaz, UX Researcher at google, sara.moomsaz@gmail.com
Stakeholders: Principles of “Yummy meals”
Date: 03/23/23
Project background: Nowadays people with their busy schedule barely have time to cook and they end up spending money on unhealthy meals and eating outside. Having help on the preparation of your meals and delivering it to you is what got this app started.
Research goals: We are trying to find user’s pain points in their daily routine that would bring challenges for meal preparations. Also demographic information on who would use this app the most. These will help us know what services to offer the user & how to design the app to be user friendly and accessible for its users.
Research questions
What is the user’s timing on the app?
What are the preferences of the user on delivery options?
Is pricing reasonable?
Are they looking for more meal personal customization or do they prefer a ready package.
How easy they can check in/check out.
How often they come back to the app for orders.
Key performance indicators (KPIs)
How much time a user spends on the app.
Are they changing language when on the app?
How often do they leave in the middle of the process?
How much help tickets are being received?
Methodology
Qualitative method. Surveys and application statistics.
Selected group of individuals with variety in occupation, gender, race etc.
Will receive an email survey to participate in a mockup of the application.
The test will run for a week.
The results will feed the application statistics for review.
The survey result will be collected and reviewed by the research group.
Participants
Users will be selected from a group of people with busy schedules who have less than 20-30% of their daily time to spend in their homes for meal preps. Working individuals, single parents, students…
Scripts
How often do you eat outside
What makes you eat outside
Are you feeling satisfied with your nutrition and weekly food variations?
What makes it hard to do meal preps.
Yummy meals Affinity diagram
Research Insights
Sharing Contacts
Payment Information
Time Consuming
Easy to Navigate
Not feeling comfortable sharing email or phone number
No form of payment to keep on file.
List of selection was too long
Mostly found it easy to navigate through
Recommendations
Keeping a form of payment on file makes it easier for next purchases to process faster