Low Sweets
Role:
Tools:
Sole Designer
UX/UI Mobile App
Billboard
Figma/Photoshop
Shown UX/UI Process + Mobile App.
Low Sweets
Low Sweets is a start-up. Started by a biologist whose family, as well as herself, have struggled with diabetes, have turned their challenge into a huge triumph by creating scrumptious low-sugar treats that mimic the taste of decadent cakes, smoothies, and creamy chocolates. Turning these new habits of healthy eating into a delicious adventure. The mobile app compli-
ments their already existing website, lowsweets.com. Keeping their established color palette/photography.
Shown UX/UI Process + Mobile App.
Role:
Tools:
Sole Designer, UX/UI Mobile App, Billboard
Indesign/Photoshop
Low Sweets
Low Sweets is a start-up by a biologist whose family, as well as herself, have all struggled with diabetes. They have turned their challenge into a huge triumph by creating scrumptious low-sugar treats that mimic the taste of decadent cakes, smoothies, and creamy chocolates. Turning these new founded habits of healthy eating into a delicious adventure. The mobile app compliments their already existing website, www.lowsweets.com. Keeping their established color palette/photography.
Shown UX/UI Process + Mobile App.
Role:
Tools:
Sole Designer, UX/UI Mobile App, Billboard.
Figma.
Business often struggle to pair orders with complimentary products, which leads to overwhelming choices and decision paralysis. ChatGBT solves this by custom-
izing recommendations using an exclusive Low Sweets database. The private database provides access to products, recipes, and kitchen tested pairings. Recommendations are customized to the specific needs of that business/consumer.
The Outcome
I wanted to understand the challenges people face in searching for naturally sweetened snacks and desserts. Products that contain no artificial sweeteners, cheap vegetable oils, palm oil, or no artificial flavors. Extensive user interviews identified the user’s frustrations, specifically the hours spent on online searches, for healthly snacks, and time consuming reading of all product ingredient labels.
The Challenge
The Challenge
I wanted to understand the challenges people face in searching for naturally sweetened snacks and desserts. Products that contain no artificial sweeteners, cheap vegetable oils, palm oil,
no artificial flavors. Extensive user interviews identified the user’s frustrations, specifically all the hours spent on online searches for healthly snacks, and time consuming reading of all product ingredient labels.
The Outcome
Business often struggle to pair orders with complimentary products, which leads to overwhelming choices and decision paralysis. ChatGBT solves this by customizing recommendations using an exclusive Low Sweets database. The private database provides access to products, recipes, and kitchen tested pairings. Recommendations are customized to the specific needs of that business/consumer.
Design Thinking
1 Empathise
My primary objective of user research was, for me, to truly understand how individuals currently navigate this world of natural snacks, absolutely no artificial sweeteners/palm oil, canola oil. Sweetened with fruit, vegetable, or other very natural means .
I wanted to uncover the app ussers existing habits while pinpoint their most frustrating pain points, and discover what genuinely excites as well as motivates users when it comes to vetting/buying products.
2 Define
Businesses and individuals often struggle to pair orders with complementary products. Leading to overwhelming choices and therefor decision paralysis.
With the addition of ChatGPT, which is integrated into the mobile app, which delivers app users customized product recommendations pulled from an exclusive Low Sweets data-base. Private acess to this database provides users with products, recipes, and kitchen tested pairings. These reco-mmendations are customized to the specific needs of users – businesses or individuals that purchase products. Tested in Low Sweets own kithchens.
4 Prototype
Designed Low Fidelity Paper Wireframes, then Low Fidelity Digital WIreframes before moving unto the High Fidelity Wireframes using Figma.
Used prototypes for usability testing to gather feedback and improve the design iteratively.
5 Test
The final app design received positive feedback from users. Small tweeks were made to the ChatGPT retrieval process. The users reported back more accurate natural food product findings, also easier recipe saving methods.
3 Ideate
Studied the competitors of other truly natural products, websites such as Hu Kitchen, alter eco and Cravers to fully understand, number one, if they were offering any recipes or pairing suggestions for their products.
One common theme was the genuine mission to “transform the harmful eating habits of past generations and create clean and conscious ones for the generations to come—without compromising on taste”.
Applied insights gained from this research to create a unique and distinctive app with a 2ndary focus on the Demand for Companion Products: The strong, consistent demand for a one stop shop, where you could easily order ingredients / complimentary products from different manufactures while being assured of the high quality of the products, by accessing ChatGPT.
I precisely analysed a range of existing recipe applications from Low Sweets and their kitchens. This allowed me to identify current market strengths, weaknesses, and, most importantly, where a significant gap existed that Low Sweets and their own recipe data base can uniquely fill by bringing together their products with guaranteed natural products for their out of the bag snacks and larger uses of their products producing new and experimental products for home cooks/bakers.
The Challenge
I wanted to understand the challenges users face in finding naturally sweetened snacks and desserts, products with no artificial sweeteners, cheap seed oils, or artificial flavors. Extensive user interviews, identified the user’s frustrations – specifically regarding the hours of online searches, and time consuming reading of all product ingredient labels.
The Outcome
Business often struggle to pair orders with complimentary products, leading to overwhelming choices and decision paralysis. ChatGPT customizes recommendations using an exclusive Low Sweets database. This private database provides access to products, recipes, and kitchen tested pairings. Each recommendation is customized to the users specific needs of that business/consumer.
Design Thinking
1 Empathize
My primary objective of user research was, for me, to truly understand how individuals currently navigate the world of natural snacks; no artificial sweeteners, palm oils, canola oils, or cheap seed oils. Natural fruit, vegetable, or other very natural means as sweeteners .
I wanted to uncover the app users existing habits while pinpointing their frustrations, and pain points, to discover what genuinely excites users, as well as motivates users when it comes to vetting and buying products.
3 Ideate
Studied the competitors of other truly natural products. Websites such as Hu Kitchen, alter eco and Cravers to fully understand, number one, if they were offering any recipes or pairing suggestions for their products.
One common theme was the genuine mission to “transform the harmful eating habits of past generations and create clean and conscious ones for the generations to come—without compromising on taste”.
Applied insights gained from this research to create an app both unique and distinctive with a secondary focus on the user demand for companion products. This strong user, demand for a one stop shop, where you could easily order ingredients or complimentary products from other natural product manufactures while being assured of high quality natural products.
2 Define
Businesses and individuals often struggle to pair orders with complementary products, leading to an overwhelming decision paralysis.
With the addition of ChatGPT, integrated into the mobile app, the app delivers customized product recommendations, pulled from a very exclusive
Low Sweets database. Private access provides users with products, recipes, and kitchen tested pairings. These recom-mendations are customized to the specific needs of users, businesses or individuals that purchase products.
4 Prototype
Designed Low Fidelity Paper Wire Frames, then Low Fidelity Digital WIre Frames before moving unto the High Fidelity Wire Frames using Figma.
Used prototypes for usability testing to gather feedback and improve the design iteratively.
The final app design received positive feedback from users.
Small tweeks were made to the ChatGPT retrieval process.
The users reported back more accurate natural food product findings, also easier recipe saving methods.
High Fidelity Prototype,
click here.
5 Test
"
"
This app keeps me on track with my sugar intake
to keep my glucose levels down. It helps me find/track,
delicious naturally sweetened snacks and recipes!
Bio Data
User Personas
\Maura
is diabetic and loves sweets, she also loves to bake low sugar desserts.
Pain Points + Frustrations
Find recipes to create new delicious desserts, desserts that she can consume.
Find/order complimentary products easily that are guaranteed to be diabetic friendly.
Goals
Enjoy sweet treats that she can tolerate as a diabetic. Make sure these health foods are truely healthy.
Easily find and order other naturally sweetened snacks from one place.
Age Education Occupation Family
23 High School Data Analyst Single
"
"
This app incorporates ChatGPT technology,
suggesting proven snack combinations to help me pair
Low Sweets products with other natural products
to carry in my store.
Bio Data
Goals
Capture market share in his neighborhood, with niche product offerings.
Easily find and link to order pages, other natural products to sell with his Low Sweets products.
\Sahil
owns a boutique health food store. He wants to offer locally produced, healthy snacks.
Pain Points + Frustrations
Ability to buy products in small quantities to test his neighborhood market without costly trial and error.
Challenge of finding products which are proven to compliment each other, without hours of searching
the internet.
Age Education Occupation Family
55 College Business Owner Married+Kids
"
"
This app helps me order Low Sweets healthy and delicious products so I can stay healthy. I no longer experience
the negative effects of excessive sugar on my health.
Goals
Maintain healthy eating habits, while enjoying sweet snacks and desserts.
\Kate
is a middle age weight conscious consumer, she wants healthy, great tasting sweet treats.
Pain Points + Frustrations
Being able to purchase healthy snacks on-line, that do not contain excessive refined sugar.
Find a variety of healthy snacks easily ,free of high levels of sugar or artificial sweeteners in one place, that pair with her Low Sweet purchases.
Age Education Occupation Family
45 College Librarian Divorced
Bio Data
User Flow Map
Low Fidelity
Paper Prototype
Low Fidelity
Digital Prototype
- 1 +
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UI Components
Assets
Typography
Color Palette
R 255 G 237 B 0
R 225 G 193 B 14
R 128 G 228 B 13
R 66 G 198 B 255
R 9 G 43 B 126
R 255 G 100 B 212
R 255 G 9 B 8
R 113 G 72 B 35
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Design System
High Fidelity
Digital Protoype
Billboard
