Who Says?
Who Says You Don’t Make Friends with Salad?
A custom salad ordering app designed to accommodate diverse food restrictions and user expectations
Role
UX/UI Designer & Visual Identity Designer 100%
Time Frame
4 Weeks
Mar 2024
Tools
Figma, Illustrator, Procreate & Chat GPT
Client
Social Entrepreneur Camila G
🤖 AI Integration
Provided initial button labels and interface copy concepts, then used AI to generate alternative options and refine the final UX writing.
Overview
When healthy eating feels easier
What is Who Says?
Who Says? is a custom salad ordering app designed to help users build personalised salads based on their taste and dietary needs. Initiated by social entrepreneur Camila G., the concept reimagines healthy fast food as a simple and stress-free experience, supporting mindful eating through clear, intuitive customization without unnecessary complexity.
The Problem
Customisation Creates Friction
Why this project matters
As dietary needs become more diverse, food-ordering experiences are expected to handle increasing complexity. However, many healthy food apps still introduce friction by failing to clearly communicate options and ingredient information.
This project focuses on addressing that gap by exploring how clarity and structure can improve decision-making in food customisation.
Design Process
Diamond Design Process
Discover
Users Needs & Insights
Insights
Based on the seven personas provided by the client, I mapped out their needs and translated them into actionable features for the app.
Discover
UI Pattern Exploration
Reviewing existing design approaches
An exploration of existing interfaces to understand how complex customisation, dietary information and ordering experience can be communicated clearly through UI patterns.
Define
Refined Problem Statement
What we need to solve
Users with diverse dietary needs feel overwhelmed when customizing food due to unclear information and too many choices.
The Challenge
Design Goals
Making Customisation Easier and More Intuitive
Reduce decision fatigue during customisation
Support informed choices
Maintain a fast ordering experience
Define
Feature Prioritisation
What to build and WHY
Step-by-step bowl customisation
Reduces cognitive load by breaking decisions into manageable steps
Dietary indicators & filters
Helps users quickly assess suitability without scanning all ingredients
Image-guided ingredient selection with flexible choice
A structured visual guide helps users customise more easily and quickly, creating a smoother and more intuitive experience
Develop
User Flow
Develop
Wireframe Sketch
Develop
Lo-Fi Prototype before A/B Testing
Develop
A/B Testing
Navigation Clarity
Ingredient Information Visibility
Order Transparency in Cart
Result
Option B increased user confidence by clearly communicating what was included in the final order.
Deliver
Final Prototype
Start & Log In Page
Browse Page
Salads are organised into clear categories, allowing users to quickly find options that match their needs or dietary preferences.
Salad Detail Page
Macro nutrients, ingredients, and provenance are presented visually to build trust and support informed decision-making.
Customise Page
Users can adjust ingredients and portion sizes for greater flexibility.
Core ingredients remain fixed to preserve each bowl’s identity, while nutrients and pricing update dynamically with every change.
Customise Page
Users can adjust ingredients and portion sizes for greater flexibility.
Core ingredients remain fixed to preserve each bowl’s identity, while nutrients and pricing update dynamically with every change.
Deliver
Final Figma Prototype
This prototype was created based on the user flow with key interactions rather than full functionality.
Deliver
Branding
Logo
The Who Says? logo features a salad bowl with vegetables falling into it, symbolising the app's inclusivity. The mix of ingredients represents the variety of tastes and preferences the platform caters to, highlighting its focus on customisation and diversity.
UI Design
Colour System
Font
Reflection
What I Learned
Minimal does not always mean clear.
Through A/B testing, I learned that reducing text and visual cues for the sake of minimalism can hurt clarity. Users perceived interfaces with clearer labels and explicit information as more supportive and trustworthy, even when the design was less visually minimal.
This reinforced that effective UX prioritises confidence and understanding over visual simplicity—especially in decision-heavy experiences.
What I would do differently
Designing with validation, not assumptions
I would invest more time in early market research and usability testing, even with rough wireframes. Validating assumptions sooner would enable faster iteration and more user-informed design decisions.