Chick’Em All project overview
My role
Product Designer
Time frame
Feb 17 - Mar 17, 2025
Scope
Create a minimum viable product (MVP) that enables users to discover new recipes, view key recipe details, order ingredients within the app, and follow step-by-step video instructions.
User flow
Insight 1 from CW
To improve discoverability in key categories, a filtering system was introduced.
Insight 2 from CW
Having the profile on the navigation bar had low impact which was replaced to a liked recipe page.
Wireframes and notable changes made form the cognitive walkthrough(CW)
Home page
🌍 Discover recipes that caters to the needs of the user.
01
Featured recipes
Displays top recipes based on the user’s previous activity.
02
Category filters added
Users can filter recipes by specific preferences, such as prep time and cost. The filters were added after conducting CW.
03
Popular recipes
Displays trending recipes within the app, updating dynamically based on selected filters.
Specific recipe page 1
🔬 Displays info breakdowns to help users decide whether to proceed.
04
Recipe tags added
Highlight key differentiating factors to help users compare recipes. The tags were added after conducting CW.
05
Key information breakdowns
Displays essential details like cost per meal, protein amount, and cook time for quick reference.
Specific recipe page 2
📝 Displays ingredient list along with pickup order button.
06
Pickup/delivery info update
Users can edit and update pickup or delivery addresses by selecting this section.
07
Serving size adjuster
Allows users to adjust serving sizes, automatically updating ingredient quantities.
08
Ingredient check list
Lets users check off ingredients they already have at home.
Main features
Home
Focusing on recipe discovery through filtering and showcasing featured recipes based on user preferences.
Closed Card Sort research revealed that users primarily gauge recipes based on:
Image of the recipe (86.9% selected)
Name of the recipe (100% selected)
Cost per meal (82.6% selected)
Prep time (82.6% selected)
Rating of the recipe (73.9% selected)
These elements were consequently incorporated into the card tile design.
*Note: This study involved a sample size of 23 participants. Future research with a larger sample will be needed to validate and solidify the user mental model.
Detailed recipe page
This page provides users with a brief recipe description along with key nutritional information to support their decision-making process when selecting meal prep recipes.
Ordering ingredients
To address the key success pillar of time-saving, we implemented in-app ingredient ordering. This feature allows users to:
Select/uncheck specific items from ingredient lists
Adjust serving sizes per batch of cooking
These functions streamline meal preparation and save users valuable time.
Video instruction
The competitive analysis revealed that most online recipes offer only static step-by-step instructions. To enhance the user experience, we introduced video instructions that allow users to:
Simply play the video and follow along with audio guidance
Repeat individual steps as needed
Automatically advance to subsequent steps
This hands-free approach streamlines the cooking process while maintaining flexibility.
Thinking of different ways to interact
Home V2
Influencers for the interaction:
This system focuses on continuous engagement, surfacing recipes to users based on their prior interactions and molding suggestions to better fit individual preferences.
Hi-fidelity prototyping
Redlining
Card/tag overflow
Indicating the card/tag has a horizontal scroll to show multiple items.
Is it possible to have an app that transforms the way athletes approach meal prep?
Saving them time, money, and keeping them engaged with their nutrition?
What are we even talking about here?
Meet Lidia
Lidia is a semi-pro weight lifting athletic with a 9-5 job as an accountant at a local children’s hospital.
I need meals that fuel my training and help me recover, but I don’t have the time or energy to figure it all out after a long day at work.
“
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Sleep
Sleep
Work
Training session 1
Training session 2
Sliver of downtime
She needs to eat but overwhelmed with what to eat
Excited to train but tired
Tired
Energized to be productive
Sleepy
Dreaming
😴
🥱
😤
😪
😅
🫠
?
Time frame
How Lidia feel through out the day
💤
💤
👟
👩💻
🏋️
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2
3
4
5
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8
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24
24 hours schedule for a typical workday with Lidia
50K<
80K
2023
Median Household Income
What most athletes take home as a pro
57%
Lidia is one of many working athletes. According to USA Olympic data, 57% of athletes earn $50,000 or less annually, and 43% are employed part-time or full-time outside of their sports careers.
In this economy?...
Not everyone is a Patrick Mahomes or a LeBron James with all the resources
$45M/year
$49M/year
The problem
Lack of time, trouble maintaining consistency with nutrition, and saving money per meal
How might we help busy athletes on tight budgets easily access affordable, nutritious chicken recipes?
Solution pillars/succession metrics
Less time cooking during the work days
Clear labeling of nutritional informations
Lower cost per meal to save money
Implementing core features such as connecting users with local grocery stores to order ingredients within the app, displaying clear nutritional and time informations. More time, money, and knowledge to be the best version of themselves
Chick’Em All
All things chicken recipes that help you cook, budget and save time by meal prepping new recipes
Time saver
Cost efficient
Know what you eat
Catch all the chicken recipes!
Next steps
1
User Testing
Conduct additional qualitative (interviews) and quantitative (metrics-based) usability tests.
2
Iterate Designs
Refine based on findings, focusing on critical usability issues.
3
Expand Validation
Test with diverse users and consider A/B testing key flows.
4
Finalize & Handoff
Document insights and deliver specs for development.