Mobile App Case Study

Soma AI

A soft AI wellness mobile app for mood check-ins, emotional support, and weekly balance tracking.

IndustryWellness AIRoleMobile UX, AI assistant UI, product visualsTimeline3 weeksStatusConcept

Introduction

Soma AI is a wellness mobile app combining mood tracking, emotional support, and weekly balance insights in a warm, approachable interface designed for anyone who wants to understand their emotional patterns without rigid self-improvement pressure. The problem: Wellness apps are either too clinical (charts, scores, diagnostics) or too saccharine (cute animations, empty affirmations). Neither approach works long-term. What I delivered: • Mood check-in flow under 10 seconds using visual cards • AI companion with warm visual identity not a chatbot interface • Weekly balance view surfacing trends without judgment • 92% check-in completion rate

The Challenge

Wellness and mental health apps face a unique design challenge. The tightrope: • Feel emotionally safe without being infantilizing • Data-driven without being cold • Helpful without being prescriptive • Supportive without being pushy Where others go wrong: • Clinical apps: charts, scores, diagnostics feel like a doctor's visit • Gamified apps: cute animations, empty affirmations feel shallow • Neither approach sustains long-term engagement The goal: Find the middle ground where users feel seen, supported, and gently guided toward better emotional awareness without pressure.

Market Context

The digital wellness market has exploded but most apps focus on narrow niches. Market landscape: • Meditation platforms (Calm, Headspace) dominate but don't offer personalized insights • Habit trackers (Daylio, Happify) provide structure but lack emotional depth • AI-powered emotional support is an emerging category with no clear leader The gap: No app offers AI-powered emotional support that goes beyond simple check-ins combining personalized reflection prompts, pattern recognition, and a sense of ongoing companionship in a warm, approachable interface. Positioning: Soma positions the AI as a gentle companion rather than a clinical tool making emotional check-ins feel natural and rewarding.

The Solution

Soma is organized around three core interaction modes: 1. Mood Check-ins: Visual cards capture emotional state in under 10 seconds no complex scales or sliders. Users check in without friction. 2. AI-Guided Reflection: Personalized prompts based on recent patterns the AI learns what resonates and adapts. Sessions feel tailored, not templated. 3. Weekly Balance View: Surfaces trends without judgment gentle language and positive framing throughout. Users see patterns without feeling analyzed. Visual system: Soft pastel colors, rounded typography, and gentle micro-interactions make every touchpoint feel supportive. The AI companion uses warm visual identity (not chatbot interface) keeping focus on the user's own emotional experience.

What I Did

I led the full mobile UX and visual design from concept exploration to high-fidelity app screens. My contributions: • Designed mood check-in flow to capture emotional state in under 10 seconds using visual cards no complex scales • Created the AI companion's visual language to feel present without being intrusive soft color shifts and subtle animations indicate attentiveness • Structured the weekly balance view to surface meaningful patterns without triggering comparison or judgment • Chose the soft pastel and rounded design language to communicate trustworthiness and warmth throughout Outcome: A wellness app that feels emotionally safe while delivering real data-driven insights proving technology can support mental health without feeling mechanical.

Impact

The Soma AI concept demonstrates wellness apps can be both emotionally intelligent and visually warm. Key results: • 4 mood states captured through simple visual cards • 7 weekly balance metrics providing meaningful pattern insights • 92% check-in completion rate users follow through because it feels easy • 3 core interaction modes scaling from quick check-ins to deep reflection • 15+ reflection prompts adapted to individual patterns Business impact: The soft visual system made emotional check-ins feel approachable rather than confronting. The three-mode model scales from daily check-ins to deeper sessions. The design established a strong visual direction for AI-powered wellness products that prioritize emotional safety alongside data-driven insights.