Phase 01 · Research & Ideation
Relatable Mood Spectrum
Relatable mood spectrum: Awful to Rad, not clinical labels.
The team replaced clinical mood labels with a more relatable spectrum: Awful, Bad, Meh, Good, and Rad.
Overview
A Chill Space for Your Emotions — a bovine-themed emotional wellness tracker from RoseHack 2025 that makes self-reflection feel approachable instead of clinical.
Core interface snapshot: mood selection, contextual comment input, and calendar-based longitudinal tracking.
Strategist's Note
The cow is not just branding. It is a neutral, non-judgmental mascot that lowers the psychological barrier to reporting negative emotions.
In a wellness market that often feels medicalized, the bovine aesthetic creates psychological safety. Users can acknowledge “Awful” or “Bad” days without the weight of clinical stigma.
Core value proposition
Reduce emotional check-ins to a simple, friendly ritual that users can actually sustain under stress.
Problem Statement
Navigating a Fast-Paced World
Modern life demands high-velocity performance, yet offers few intuitive tools for emotional maintenance. Journaling can feel high-effort, while many wellness apps introduce too much complexity at the exact moment a user has the least emotional bandwidth.
Stress / Clutter
- Journaling fatigue
- Overly clinical wellness flows
- Too much cognitive effort for daily use
- No quick path from emotion to action
→
Daily Moo Mood
- 5-stage visual Likert scale
- Low-pressure comment field
- Actionable “Clues to Fix” support
- Calendar view for pattern recognition
Strategist's Note: Reducing Cognitive Load
We identified a gap between high-effort journaling apps and passive health trackers. By using a 5-stage Likert scale represented by cow icons, the product minimizes the paradox of choice and makes emotional logging fast enough for stressed users to actually complete.
Project Goals
Intentionality and Positivity
The goal was to design more than a logger. The product needed to create a complete pathway from reflection to recovery.
Reflection
Provide an immediate guided pause in the user's day so self-check-ins feel lightweight and emotionally safe.
Resilience
Map long-term patterns so users can recognize emotional dips, anticipate them, and respond earlier.
Action
Move from passive tracking to intervention through “Clues to Fix” and other actionable wellness prompts.
Strategist's Note: Moving from Passive to Active
These goals shaped the hierarchy of the MooYourMood selector and the Clues to Fix feature. The product was designed so it does not simply record how users feel. It attempts to help them feel better next.
Key Solutions
From Mood Logging to Actionable Care
The team worked through a disciplined User-Centered Design process inside a 24-hour hackathon sprint, balancing design quality, technical feasibility, and competition pressure.
Phase 02 · Prototyping
Figma to Production UI
Soft, rounded Figma system shipped as production-ready UI.
Figma helped translate a soft, rounded, pastel-heavy interface into production-ready frontend components with high fidelity.
Phase 03 · Testing
Iteration
Post comment added: users needed qualitative context, fast.
Sprint feedback showed users needed qualitative context, which led to the rapid addition of the Post comment feature.
Strategist's Note: Iterative Validation
The move from raw concept to 2nd Place was driven by iteration. Each round of testing helped eliminate UI friction and technical rough edges, making the solution feel closer to a production-ready product than a one-off demo.
Design Process
From Concept to Competition
Daily Moo Mood guides users through a complete emotional check-in loop: select a mood, add context, receive support, and track patterns over time.
5.1 The MooYourMood Interface
- 5-stage mood selector: vibrant visual states make emotional check-in instant and intuitive.
- Post comment: a low-pressure journaling field helps users attach context without committing to a full diary entry.
- Personalized session state: UI copy like “Welcome! Cathy Chen.” builds a sense of ownership and continuity.
5.2 “Clues to Fix”: Actionable Care
A prominent feature is the Deep Breathing Meditation, presented on a decorative floral plate.
Strategist's Note: Normalizing Self-Care
The plate is a deliberate domestic metaphor. It frames mental health support as a daily serving of care, something familiar, routine, and accessible.
- Makes meditation feel less intimidating
- Turns support into a clear next step
- Connects reflection to recovery in the same flow
5.3 Longitudinal Emotional Tracking
The calendar view gives users a clean, high-level way to visualize emotional trends over time.
- Supports pattern recognition
- Helps identify environmental triggers
- Makes “Rad” streaks visible and motivating
Technical Implementation
Fast Collaboration, High Fidelity
Efficiency was critical. The project succeeded because design and engineering moved in sync, allowing the team to ship a polished experience within hours.
| Category | Tools Used |
|---|---|
| Frontend Framework | React, Alpine.js |
| Styling | Tailwind CSS |
| Backend / API | ASP.NET Core MVC |
| Database | SQLite |
| Languages | JavaScript, HTML5, CSS |
Strategist's Note: Rapid Style Deployment
Tailwind CSS enabled the team to implement the app’s soft shadows and custom “chill” palette directly in markup, reducing styling overhead and helping the React frontend stay visually faithful to the Figma vision.
Impact & Reflection
Beyond the Hackathon
RoseHack 2025 presentation moment: Daily Moo Mood was recognized with 2nd Place.
Winning 2nd Place at RoseHack 2025 validated the team’s belief that mental health tools can be both whimsical and effective.
For Cathy Chen, Jerry Chen, and Michelle Chen, the project became a compact but intense exercise in collaborative growth, rapid prototyping, and emotionally aware product strategy.
Strategist's Note: A Template for Sustainable Habit-Building
Daily Moo Mood demonstrates that when emotional tracking is designed with empathy and whimsy, it stops feeling like a chore and starts feeling like a sustainable habit.
Future Vision
Opportunities to Scale
AI-Driven Mood Analysis
Use NLP to extract deeper sentiment trends from user comments.
Advanced Data Insights
Explore correlations between mood data and factors like sleep or weather.
Personalized Interventions
Tailor “Clues to Fix” suggestions based on each user’s historical success patterns.
Project Vision Achieved
Daily Moo Mood successfully created a chill space for emotions. By combining a playful bovine aesthetic, actionable wellness interventions, and a robust technical foundation, the product lowered the barrier to emotional resilience in a way that felt approachable, memorable, and award-worthy.
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