Mood Must is a mobile app designed to help users track, analyze, and reflect on their emotional well-being. The goal was to create a simple yet powerful tool that encourages consistent journaling of moods, identifies emotional patterns, and provides actionable insights for self-awareness and mental health management.

Mental health often goes untracked because:

Existing apps are cluttered and overwhelming.

Users forget to log moods due to lack of reminders.

Raw mood data rarely translates into meaningful insights.

Key Challenge: Designing a tool that makes mood tracking frictionless, engaging, and insight-driven while maintaining a minimal learning curve.

Ease of Use: One-tap mood logging with intuitive icons and colors.

Consistency: Daily reminders to nudge users to reflect on emotions.

Self-Awareness: Generate insights on mood trends, triggers, and lifestyle correlations.

Privacy: Ensure data is safe and personal with optional passcode/FaceID.

Focused on a single-screen logging flow to reduce friction.

Iterated on emoji vs. color gradient vs. slider for mood input → settled on emoji + gradient.

Adopted a calming pastel palette to evoke positivity.

Used rounded typography and minimal UI for a non-clinical feel.

Conducted usability testing with 12 participants.

Iterations improved logging speed (from 20s → 7s) and dashboard readability.

Engagement: 72% of testers logged moods daily for 2+ weeks.

Retention: 65% continued after initial testing, citing “easy to use” as top reason.

Self-Awareness: Users reported identifying patterns like “stress peaks on Mondays” or “happier after workouts.”