Skills
Storyboarding
User research
Mobile App Design
User research
Mobile App Design
Tools
Figma
Adobe CC
Adobe CC
Timeline
Dec 2023
Overview
A case study that sprang from a random pain point that I saw my family experience at the start of a winter break. I dedicated the next two-ish weeks conducting user research and designing the prototype of an application that tackles the pain points I identified. It was a very fun sprint that allowed me to lead the 0 --> 1 of the ideation of Remy!
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TL;DR
Scope
As a family of 5, we preferred cooking than eating at restaurants(mainly with price-related motifs). Cooking is fun and wholesome, until it starts feeling like work. Choosing what to make, getting the necessary ingredients, and using them–it was quite a hassle to find recipes we could trust or actually utilize all of the ingredients bought before they went bad.
Primary & secondary research
Interviewing my peers and comparing the food price index in groceries vs restaurants, I learned that the biggest drive to cook was to save expenditure.
Problem
But, trustworthy & intuitive recipes are hard to find.
Online recipes have long prefaces that have nothing to do with actual recipes. Scrolling through many recipes just to see which is best takes time and effort.
Problem
Once in your fridge, you blink and your ingredients go bad.
When prepping for various dishes, you might end up with inconvenient portions of leftover ingredients in your fridge. Unless you make extra effort, these leftovers oftentimes go to waste.
So what?
Straightforward recipes + leftovers based recommendations = happy cooking, $$$ saved
1. Easy journey for users from point A to B
You can change portion sizes with one click, save recipes for the future, etc.
2. Algorithm that suggests dish ideas from your leftovers
Whether through scanning a fridge or receipt, Remy's algorithm recommends dishes you could make.
3. Community-based ecosystem that verifies recipes
Good recipes naturally get traction and support from the users.
You can change portion sizes with one click, save recipes for the future, etc.
2. Algorithm that suggests dish ideas from your leftovers
Whether through scanning a fridge or receipt, Remy's algorithm recommends dishes you could make.
3. Community-based ecosystem that verifies recipes
Good recipes naturally get traction and support from the users.
Product feature 1
Recipe page
No unrelated stories that distract you from recipes. Each recipe page holds only the necessary contents like ingredients, portions, cooking time, and cooking steps.
Product feature 2
Remy's Specials
Remy's algorithm processes leftover ingredients to suggest potential dishes users can make, helping minimize food waste and maximize the efficiency of home cooking.
Product feature 3
Easy personalizations
College students who cook often struggle with portion sizes since most recipes serve around five people, while they're usually cooking for one. Here, adjusting portion sizes takes just two clicks.
Product feature 3
Community building
Encouraging users to share their recipes help foster a healthy community with high user retention. Having personal inputs give them a stake in the experience.
