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AI based meal flow

Product discovery, end to end design

2024 | Company: Sweetch Health

B2B2C | Mobile

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Description

This project reimagined the nutrition domain with a focus on simplifying the user flow and creating an engaging, intuitive interface. The aim was to transform a cluttered and confusing experience into a clean, efficient design that empowers users to quickly find the information they need.

My role

As the UX/UI Designer, I led the project from initial discovery through to the final design solution. My responsibilities included conducting competitor analyses, developing wireframes and interactive prototypes, and integrating user research insights to refine the design.

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Defining KPIs

At the start of the project, the product manager and VP of Product set clear, measurable KPIs to guide the design efforts. Importantly, these metrics served as the intersection of business goals and user-centric solutions, ensuring that our design improvements not only enhanced the user experience but also contributed directly to the company’s overall growth.

KPIs Provided:

  • User Engagement: increasing the average session duration (15-40 sec) by 20%

  • Drop-off Rates: Reducing user drop-offs at key steps of the nutrition flow by 40%

  • Feature Adoption: Boosting the usage of core nutrition tracking features by 25%

Mapping the current problems

To ensure the redesign addressed real user issues, me with support of data team began the mapping of current problems which involved a detailed analysis of several key metrics:

  • User engagement: we tracked how users interacted with the platform - identifying which sections held their attention and where they lost interest.

  • Drop-off rates: By pinpointing where users were leaving the flow, we identified friction points that hindered a smooth experience.

  • Feature usage: analyzing which features were frequently used and which were ignored helped us understand what was truly valuable to users and what needed rethinking.

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User research

To tailor the redesign to the real needs of our audience, I focused on two main user cases: Diabetes and Obesity. For each of these cases, I developed 3 user personas based on collected data. These personas capture a wide range of challenges, behaviors, and goals, ensuring our design addresses both the health management and lifestyle needs of our users.

In this portfolio case study, I present two in-depth user personas representing distinct user groups - one for managing diabetes and one for addressing obesity.

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Visual research

To gain insight into the app’s visual and behavioral dynamics, I conducted a thorough review of the domain and user flow, meticulously identifying and analyzing areas for improvement.

Current Nutrition domain

The top banner grabs attention but doesn't add any value.
The message is generic, too long, and auto-sliding, which makes it hard for users to read and control.

The meals goal is not clearly shown and has too much text

Nutrition facts look not informative, and daily calorie information is missing

The meal details are minimal, and users need to click the 'More' icon to view the ingredients

Light blue color in icons is poorly accessable and not passing WCAG test

Current Log meal flow

  • The current flow forces users to take unnecessary steps, such as manually selecting 'Meal Type' and 'Meal Time', which could be automated by dev team

  • 'More' menu is ambiguous and could be streamlined for clarity

  • Users don't receive feedback when they log, update, or remove a meal, leaving them uncertain if their actions were successful

  • Visual language is inconsistent across pages, resulting in a disjointed user experience

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Competitor analysis

When analyzing competitors, I focused on key areas: user experience and interface design, personalization, comprehensive data tracking, educational content, effective feedback mechanisms, and engagement elements like gamification.

This are main campetitors which I analyzed:

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MyFitnessPal

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Fastic

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Noom

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Lifesum

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Yazio

Research outcomes

During the discovery process, I conducted four phases of moderated and unmoderated user studies using UserLytics.
This research provided valuable insights that informed the wireframes, final user flow, and UI design. Here are a few key outcomes:

  • Logging meals every day can be challenging, so it's essential to reduce the number of steps and simplify the process as much as possible

  • Users need clear information about each ingredient and an easy way to update it

  • Users often eat the same portions day-to-day, so displaying saved meals can streamline the process

  • Users want to compare healthy and unhealthy meals to better understand the differences between them

  • A significant portion of users would appreciate healthy, personalized recipes that they can easily incorporate into their diet

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Decisions

Based on these insights, several key product decisions were made. Here are a few of them:

  • Make brand new AI and camera-based feature to simplify the user flow

  • Add articles and recipes to the page

  • Include toast notifications to provide immediate feedback for every action, whether it succeeds or fails

  • Allow users to view both micronutrients and macronutrients

  • Present a "Quick Byte" tip for the meal they’re about to log

  • Save users time by automatically setting the meal title and time based on the time of day

Final flow

After gathering all insights I built the final flow with all nesessary component states:

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Hifi wireframes

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Here are a few screens showcasing the UI language for this feature. Please note that they adhere to the app’s overall design system.

© 2025 by Yulia Krepacheva

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