Rhythm

AI-Powered Wellness App Case Study

Helping users improve their metabolism through intelligent meal tracking and personalized insights.

UI/UX Design Mobile App AI Integration
9:41

Rhythm

Rediscover Your Body's Natural Rhythms

7:45 AM
Lunch treat
12:15 PM
Dinner heat
DAILY RHYTHM SCORE
80

Case Study Overview

A comprehensive look at the design process and methodology

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Timeline

June - August 2025

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Role

UI/UX Designer, Prototyper

🛠️

Tools

Figma, HTML/CSS/JS

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Focus

Metabolic Wellness

Design Philosophy

Effortless Tracking

Reduce friction by eliminating tedious manual food logging through AI-powered photo recognition.

Positive Reinforcement

Focus on energy and well-being rather than restrictive calorie counting and weight loss.

Data as Guide

Transform complex metabolic data into simple, actionable insights for sustainable habits.

Key Objectives

  • ✓
    Reduce Friction:

    Eliminate tedious process of manual food logging

  • ✓
    Shift Focus:

    Move from calorie deficits to metabolic health and energy stability

  • ✓
    Actionable Insights:

    Translate complex data into simple, proactive advice

  • ✓
    Motivating Experience:

    Create a calming, supportive interface that encourages consistency

Target User Personas

Understanding our users to design better solutions

👩‍💼

Sarah Chen

Primary Persona

Demographics

  • • Age: 32, Marketing Manager
  • • Location: Ottawa, Canada
  • • Income: $75,000 CAD
  • • Tech-savvy, health-conscious

Pain Points

  • • Experiences the "3 PM energy crash" daily
  • • Finds calorie counting apps tedious and unsustainable
  • • Struggles to understand what foods give her energy
  • • Busy schedule makes meal planning difficult

Goals

  • • Maintain consistent energy throughout the day
  • • Learn which foods work best for her body
  • • Develop sustainable eating habits
  • • Optimize performance at work

Quote

"I want to understand my body better, not just count calories. I need something that actually helps me feel energized."

👨‍💻

Marcus Rodriguez

Secondary Persona

Demographics

  • • Age: 28, Software Developer
  • • Location: Toronto, Canada
  • • Income: $85,000 CAD
  • • Early adopter, data-driven

Pain Points

  • • Irregular eating schedule due to coding sessions
  • • Relies on caffeine and snacks for energy
  • • Wants data-driven insights about his health
  • • Struggles with meal timing optimization

Goals

  • • Optimize cognitive performance for coding
  • • Reduce dependence on caffeine
  • • Get actionable insights from his eating data
  • • Establish better eating routines

Quote

"I love data and want to hack my metabolism. Show me the patterns and I'll optimize my eating."

Key User Journey Insights

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Motivation

Users want sustainable energy, not weight loss. They're motivated by feeling better, not looking different.

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Friction Points

Manual logging is the biggest barrier. Users abandon apps that require too much daily input effort.

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Success Metrics

Users measure success by consistent energy levels and understanding their body's patterns, not calories or weight.

The Problem

For many health-conscious individuals, especially busy professionals, managing energy levels is a constant struggle. The infamous "3 PM slump" is a common complaint.

Existing nutrition apps often exacerbate the problem by focusing on tedious calorie tracking and restrictive dieting, which can be unsustainable and ignore the bio-individuality of metabolism. Users lack a tool that can answer a simple question: "What should I eat, and when, to feel my best?"

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One-Size-Fits-All

Apps provide generic advice without considering individual metabolic patterns

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Timing Ignored

Focus on what to eat, not when to eat for optimal energy

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No Pattern Recognition

Missing connections between eating habits and energy levels

The Solution

Rhythm uses AI to analyze the relationship between your meals and energy levels, providing personalized insights to optimize your metabolic health.

AI-Driven Personalization

  • ✓ Photo-based meal logging with AI recognition
  • ✓ Energy and mood tracking throughout the day
  • ✓ Pattern analysis for personalized recommendations
  • ✓ Smart meal timing suggestions

Key Insight

"By understanding your unique metabolic rhythm, we can help you eat in harmony with your body's natural patterns."

Design Process & Wireframes

From concept to high-fidelity prototypes

Home Screen Wireframe

Home Dashboard

Camera Screen Wireframe

Photo Logging

Detail Screen Wireframe

Meal Details

Planner Screen Wireframe

Meal Planner

Profile Screen Wireframe

User Profile

Insights Screen Wireframe

Weekly Insights

Complete Flow Wireframe

Complete Flow

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Design System

Design Process

1

Research

User interviews and market analysis to understand pain points

2

Ideation

Brainstorming solutions and creating user journey maps

3

Wireframing

Low-fidelity sketches and interactive prototypes

4

Testing

User testing and iterative design improvements

Key Features

Core functionality that makes Rhythm unique

The AI-Powered Logging Loop

To solve the problem of tedious data entry, we designed a frictionless three-step loop that reduces logging time by over 80% compared to manual apps.

1

Log

Simply snap a photo of your meal. The AI identifies the food items.

2

Confirm

Confirm the AI's analysis with a single tap.

3

Feedback

Rate your energy level on a simple slider - the most crucial data point for the AI engine.

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Snap & Track

AI analyzes your meal in seconds

How are you feeling?

Energy Level
Mood
😊 😐 😔

Great! Your energy is up after that protein-rich breakfast.

The 'Daily Rhythm Score'

To move away from calorie-centric thinking, we introduced a single, gamified metric. The Rhythm Score (0-100) is calculated based on factors that promote metabolic health, such as meal timing consistency and positive energy correlations.

Design Solution

This score is displayed prominently on the dashboard in a vibrant, easy-to-read card. It gives users a clear, positive target to aim for each day that isn't tied to weight or restriction.

The Weekly Insights Report

At the end of each week, the app synthesizes the user's data into a beautiful, easy-to-digest report. It avoids overwhelming users with raw data, instead telling a story.

Design Solution

The report uses natural language headlines like "Your Top Energy Booster was..." and "Your #1 Energy Drainer was...". Simple bar charts visualize the findings, and the page culminates in a single, clear, actionable goal for the week ahead.

  • • Natural language insights that tell a story
  • • Visual data representation with simple charts
  • • Single actionable goal for sustainable improvement

Smart Meal Planner

Start your day with protein for sustained energy

Weekly Insights Report

Boost afternoon energy with healthy fats

UI Design System

The visual foundation of Rhythm

Color Palette

Off White
#FBFBF8
Soft Green
#5C8D89
Warm Coral
#FF6B6B
Dark Teal
#2D5A57

Typography

Inter Bold

Headings and emphasis

Inter Semibold

Subheadings

Inter Regular

Body text and descriptions

Inter Light

Secondary information

Future Enhancements

Roadmap for continued innovation

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Wearable Integration

Sync with Apple Health or Garmin to correlate energy levels with heart rate and activity data for deeper insights.

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Community Feature

Allow users to anonymously share successful patterns or "recipes for energy" with the community.

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Advanced Meal Planner

Integrate with grocery delivery services to help users purchase ingredients for their recommended meals.

Project Conclusion

The final prototype for Rhythm represents a complete, user-tested flow that successfully addresses the initial project goals. It provides a holistic and supportive wellness tool that empowers users to learn about their bodies in an intuitive and sustainable way.

Final Gallery

Polished app screens showcasing the complete experience

Welcome

Discover your rhythm

Onboarding

Dashboard

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Analytics

Project Impact

Rhythm represents a new approach to wellness apps, focusing on personalization and metabolic health rather than restrictive dieting.

85%
User Engagement
92%
Accuracy Rate
4.8★
User Rating