Objectives & Goals
Provide a personalised recipe recommendation system based on the ingredients users have at home.
Support diverse dietary preferences and restrictions like vegan, gluten-free, and low-carb.
Simplify recipe selection and streamline the cooking process.
Optimise recipe quantity for variable serving sizes, allowing users to scale ingredients.
Objectives & Goals
Provide a personalised recipe recommendation system based on the ingredients users have at home.
Support diverse dietary preferences and restrictions like vegan, gluten-free, and low-carb.
Simplify recipe selection and streamline the cooking process.
Optimise recipe quantity for variable serving sizes, allowing users to scale ingredients.
Root Cause Analysis (RCA)
Root Cause Analysis (RCA)
The core issue was a lack of personalisation in recipe platforms, leading to lengthy browsing times. Addressing this required a highly tailored recommendation engine that could generate options based on real-time ingredient input.
This case study summarises FoodGPT’s approach to delivering a personalised cooking experience that prioritises user convenience and preference-based recommendations. Through advanced ingredient detection, dietary customisation, and optimised task flows, FoodGPT offers a competitive solution in the recipe app market.
The core issue was a lack of personalisation in recipe platforms, leading to lengthy browsing times. Addressing this required a highly tailored recommendation engine that could generate options based on real-time ingredient input.
This case study summarises FoodGPT’s approach to delivering a personalised cooking experience that prioritises user convenience and preference-based recommendations. Through advanced ingredient detection, dietary customisation, and optimised task flows, FoodGPT offers a competitive solution in the recipe app market.
Task Mapping
Task Mapping
Primary Task: Find a recipe using available ingredients.
Secondary Task: Adjust serving sizes for a single person or family.
Tertiary Task: Save and share recipes for future reference.
Primary Task: Find a recipe using available ingredients.
Secondary Task: Adjust serving sizes for a single person or family.
Tertiary Task: Save and share recipes for future reference.
Task Flows
Task Flows
1. Login/Register
The user inputs dietary preferences and ingredients.
FoodGPT generates tailored recipe recommendations.
2. Recipe Search
Ingredient-based search activates, displaying relevant recipes.
3. Cooking
A user adjusts the serving size, and ingredients auto-update.
4. Save & Share
Users can save to favourites or share recipes.
1. Login/Register
The user inputs dietary preferences and ingredients.
FoodGPT generates tailored recipe recommendations.
2. Recipe Search
Ingredient-based search activates, displaying relevant recipes.
3. Cooking
A user adjusts the serving size, and ingredients auto-update.
4. Save & Share
Users can save to favourites or share recipes.
Business Challenge
A crowded market of recipe apps presented a challenge. Standing out required a compelling, user-centric app with superior personalisation and ease of use. Compounding on both usability and personalisation demanded technical sophistication and continuous engagement with user feedback.
Business Challenge
A crowded market of recipe apps presented a challenge. Standing out required a compelling, user-centric app with superior personalisation and ease of use. Compounding on both usability and personalisation demanded technical sophistication and continuous engagement with user feedback.
Quantitative Research
Our survey of 1,500+ users highlighted that 65% often felt uninspired when deciding what to cook, and 78% wanted a faster, personalised recipe search. User data also indicated an average of 5–7 minutes spent browsing for recipes, showcasing the potential for FoodGPT to reduce decision fatigue and improve meal prep efficiency.
Quantitative Research
Our survey of 1,500+ users highlighted that 65% often felt uninspired when deciding what to cook, and 78% wanted a faster, personalised recipe search. User data also indicated an average of 5–7 minutes spent browsing for recipes, showcasing the potential for FoodGPT to reduce decision fatigue and improve meal prep efficiency.
