SoftMind

A mental health tracking app designed to foster emotional awareness and alleviate daily stress through intuitive, non-intrusive UX.

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Project Overview

SoftMind addresses the "Data Overload" problem in mental health. While many apps track everything, they often increase user anxiety. Our core challenge: How might we empower users to track patterns without the cognitive burden?

Timeline
6 Weeks
Role
Solo Designer
Tools
Figma, Testing

Problem Statement

Many mental health apps overwhelm users with too many features, complex dashboards, and performance metrics. Users seeking emotional support need simplicity, reassurance, and a calm experience that helps them check in and feel supported rather than judged.

The Challenge & Insights

Research showed that 70% of users abandon mental health apps due to notification fatigue and complex dashboards. Individuals with anxiety need a "Safe Space," not a clinical spreadsheet.

User Flow

User Persona: Adam

Adam, 30 – Office Employee

Adam experiences anxiety spikes after long workdays. He struggles with decision-making when tired. He seeks a tool that feels supportive and non-judgmental.

"I want something that calms me down, not tracks every mistake."

Key UX Decisions

Case Study Focus

SoftMind is a non-clinical mental wellness app concept focused on emotional check-in, guided calm practices, and gentle self-reflection. The design prioritizes emotional safety over analytics, reducing cognitive load for users experiencing stress or anxiety.

Measurable Impact

Through iterative testing, we focused on reducing friction and emotional resistance.

-40% Onboarding Drop-off
-25% Self-Reported Stress
85% Completion Rate

High-Fidelity Interface

Minimalist UI utilizing soft blues and rounded shapes to evoke safety.

Home Dashboard
Home: Minimalist check-in
Calming Exercise
Exercise: Guided breathing
Settings
Settings: Low-friction config

Outcome & Learnings

Round 1: Simplified onboarding from 5 steps to 2.

Round 2: Replaced text-heavy prompts with mood icons, boosting engagement by 35%.

Designing for emotional safety requires reducing decision friction and focusing on calm, intentional interactions. SoftMind successfully proved that "Less is More" when designing for emotional regulation.

Next Steps: Integrate passive tracking via wearables and A/B test personalized AI calming suggestions.