Mochi Eats
Case Study
Faith, Gabriella, Felipe, Joana, Christopher
M chi Eats
Hi I’m Mochi, your personal food counselor
The Problem:
Many people have busy work schedules that prevent them from prioritizing their diets. This often leads to overspending on take-out and cooking related anxiety.
Our Solution:
Help busy people lead healthier and more sustainable lives by making meal planning more accessible; encouraging people to cook and have more control over their diets.
User Research
01.
Ideation
02.
Design
03.
Prototype
04.
Figuring out the needs and pain points of our prospective user
Competitor analysis, user flow, sketches, wireframing, user testing
Moving our wireframes into high fidelity and creating a clickable prototype
Narrowing in on a concept that best addresses the needs and pain points of our users
User Research
01.
Figuring out the needs and pain points of our prospective user
Initial Project Idea
Issue With Our Idea
A recipe generator based on inputted ingredients to eliminate food waste and decrease decision fatigue
Our initial project wasn’t addressing the root problem that our users were facing.
Research Plan
Methodology:
We will be conducting user interviews, approximately 5 interviews in total, over the course of three days. Interviews will be conducted both virtually and in person and will be recorded for research purposes.
Key Questions:
What are our user’s concerns when it comes to cooking with the items left in their fridge?
What information is important to gather from our user to target specific recipes for them?
What encourages people to cook?
User Research Data
Key Findings:
A majority of people feel stressed about their food choices
A majority of people have food waste frequently
It is difficult to cook and plan your meals when you have a busy life
40.9%
Of Users
Felt stressed when making decisions about meals and food
“It’s not uncommon that I choose not to eat rather than try to figure out what to make”- Tanner, 21
“I wish I had access to more recipes for inspiration”- Anna, 21
Finalized Concept
A meal plan app that generates recipe recommendations and focuses in on the scheduling component of planning
Ideation
02.
Narrowing in on a concept that best addresses the needs and pain points of our users
User Insight Statement
Life is complicated but meal planning doesn’t have to be. Everyday life is so hectic and busy that planning your next meal often falls to the wayside. People with busy schedules need a quick and fool-proof system for meal planning in order to make healthier choices, optimize their time, and reduce decision fatigue.
I like, I wish, what if
What if
I wish
I like
What if it showed you a dashboard of meal trends?
I wish there was an option to have the groceries delivered to you via a 3rd party vendor
I like that HelloFresh gives a recommended meal plan and then allows you to edit from there
Core Features
Feature Prioritization Matrix
Meal planning ability (daily/monthly)
Recipe suggestions based on cravings, popularity, trending, etc.
Grocery list generator based off ingredients used within the recipe
Grocery delivery (optional)
User recipe uploads
Value Proposition
Mochi makes things simpler! Mochi Eats helps busy individuals lead healthier and more sustainable lives by making meal planning more accessible as well as encouraging people to cook and have greater control over their diets.
Design
03.
Competitor research, user flow, wireframing, user testing
Competitor Analysis
Competitors:
Mealime Meal Plans & Recipes
End and Stem
Cook Books
Youtube & Pinterest
HelloFresh
Competitor Analysis
Our Competitive Advantage
The Features We liked
The open source nature of the app allows for more recipes
Search Function
Creating a Meal Plan
Recipe Generation
User Flow
Initial Sketches (Calendar Function)
Wireframes (calendar function)
Usability Testing
Goals:
Method:
Conduct tests with users to find the best
layout for the weekly planner
Learn how people feel about open source
nature of app
Give users set tasks to complete
Analyze their success rate at completing tasks
Analyze the time it takes to complete tasks
2 x 2 Matrix
Iterations Based on Testing
Changes made:
Added coaching to the planner and made layout more visually appealing
Changed the icon names to better communicate their functions
The recipe uploader was taken out of profile and made into its own page, people like it!
Mid Fidelity Prototype
Prototype
04.
Moving our wireframes into high fidelity and creating a clickable prototype
From Mid to High Fidelity
Coaching Screen
Nutrition Breakdown,
Home Page
Search Page
High Fidelity Prototype
Next Steps (expand specific features)
Recipe Page
Budgeting
Suggestions
Receipt Scanner
Partnerships
Automatic suggestion about new recipes
Include more interaction between users
Expand the budgeting section of app
Receipt scanner for budgeting
Create partnerships with chefs to generate new recipes