Project Name: EmotionWell Simple Validator
Project Duration: 4 weeks
Project Goal: Develop a mobile-first web application that validates the core value proposition of helping users process intense negative emotions through guided emotional assessment and targeted interventions.
EmotionWell Simple Validator is a no-login, mobile-first web application that applies affective computing principles to help users identify, process, and regulate their emotions. This ultra-minimal version focuses exclusively on the core emotion assessment and intervention experience to validate the primary value proposition.
The ultra-minimal MVP will include:
- Single-session emotion assessment interface
- Simple intervention recommendation system
- Guided intervention delivery
- Post-session feedback collection
- User authentication
- Data persistence across sessions
- Session history
- User profiles
- Settings and preferences
- Analytics integration
- Offline functionality
- Frontend Developer (1): Implement the React application
- UX/UI Designer (1): Create user interface designs
- Content Developer (1): Develop intervention content
- Mental Health Consultant: Review intervention content (3 hours/week)
- QA Specialist: Test functionality (5 hours/week in final phase)
- Frontend Framework: React with TypeScript
- Styling: Tailwind CSS
- Hosting: GitHub Pages or Netlify
- State Management: React Context API (no Redux)
The application will follow a simple architecture:
src/
├── assets/ # Images, audio files, etc.
├── components/ # UI components
│ ├── common/ # Buttons, inputs, etc.
│ ├── assessment/ # Emotion assessment components
│ └── intervention/ # Intervention delivery components
├── context/ # React context for session state
├── data/ # Static data (emotions, interventions)
├── pages/ # Main app screens
├── types/ # TypeScript definitions
├── utils/ # Utility functions
└── App.tsx # App entry point
All data will be stored in memory during a single session using React Context:
// Session Context
interface SessionState {
emotions: {
primary: {
type: string; // E.g., "anxiety", "sadness"
intensity: number; // 1-10 scale
},
secondary?: {
type: string;
intensity: number;
},
context?: string; // Optional user notes
},
interventionId?: string;
interventionCompleted: boolean;
preSessionState?: number; // 1-10 rating
postSessionState?: number; // 1-10 rating
feedbackProvided: boolean;
}- Set up project using Create React App with TypeScript
- Implement basic application shell and routing
- Create emotion selection and intensity UI components
- Develop basic session state management with Context API
- Build emotion assessment flow
Milestone 1: Working Emotion Assessment
- Complete emotion assessment flow
- Basic session state management
- Create static intervention data for 8-10 core interventions
- Implement simple recommendation algorithm
- Develop intervention selection UI
- Build step-by-step intervention guide components
- Create basic intervention media components
Milestone 2: Complete Intervention System
- Functional intervention recommendation
- 8-10 implemented interventions
- Complete intervention guidance flow
- Implement pre/post emotional state rating
- Create simple feedback collection form
- Polish UI/UX
- Test on various mobile devices
- Fix critical bugs
Milestone 3: Launch-Ready Application
- Complete feedback collection mechanism
- Polished mobile-first UI
- Tested on multiple devices
npx create-react-app emotionwell-validator --template typescript
npm install react-router-dom tailwindcss postcss autoprefixer
npx tailwindcss init -p- Emotion selection using grid interface
- Emotion intensity using simple slider
- Optional text input for context
- Pre-session emotional state rating
- Step-by-step guidance with progress indicator
- Timer-based steps with manual advance
- Simple audio player for guided interventions
- Text and image-based instructions
// Simple context-based state management
const SessionContext = createContext<{
sessionState: SessionState;
updateSession: (updates: Partial<SessionState>) => void;
}>(null!);
export const SessionProvider: React.FC = ({ children }) => {
const [sessionState, setSessionState] = useState<SessionState>({
emotions: { primary: { type: '', intensity: 5 } },
interventionCompleted: false,
feedbackProvided: false
});
const updateSession = (updates: Partial<SessionState>) => {
setSessionState(prev => ({ ...prev, ...updates }));
};
return (
<SessionContext.Provider value={{ sessionState, updateSession }}>
{children}
</SessionContext.Provider>
);
};- Anxiety/Worry
- Sadness/Depression
- Anger/Frustration
- Fear
- Overwhelm
- Shame/Guilt
- Grief
-
Breathing Techniques
- Box breathing (4-4-4-4 pattern)
- 4-7-8 breathing
-
Physical Techniques
- Progressive muscle relaxation
- Grounding through physical sensation
-
Cognitive Approaches
- Thought challenging
- Perspective taking
-
Mindfulness Practices
- Body scan meditation
- Present moment awareness
-
Sensory Grounding
- 5-4-3-2-1 technique
-
Landing Page
- Brief explanation of the app
- "Start Session" button
-
Pre-Session Rating
- "How are you feeling right now?" (1-10 scale)
-
Emotion Assessment
- Select primary emotion
- Rate intensity (1-10)
- Optional: Select secondary emotion
- Optional: Add context notes
-
Intervention Recommendation
- Display 2-3 recommended interventions
- Allow user selection
-
Guided Intervention
- Step-by-step instructions
- Timer when applicable
- Progress indicator
-
Post-Session Rating
- "How are you feeling now?" (1-10 scale)
-
Feedback Collection
- Was this helpful? (Yes/No)
- What worked well? (Text input)
- What could be improved? (Text input)
- Would you use this again? (Yes/No)
-
Thank You Screen
- Thank you message
- Option to start a new session
Since we can't store user data persistently, the following validation approaches will be used:
-
Anonymous Feedback Collection
- Implement a simple form that sends anonymous feedback to a collection service like Google Forms or Typeform
-
User Testing Sessions
- Conduct supervised user testing sessions with volunteers
- Collect qualitative feedback
-
Before/After Ratings
- Track effectiveness based on pre- and post-session emotional state ratings during testing sessions
- Project setup
- Landing page
- Emotion assessment components
- Basic session state management
- Intervention data structure
- Recommendation algorithm
- Intervention selection UI
- Guided intervention experience
- Complete intervention content creation
- Post-session rating
- Feedback collection form
- UI polish and refinement
- Cross-browser and device testing
- Bug fixes
- Host on GitHub Pages or Netlify as a static web app
- Use environment variables for any configuration settings
- Implement a simple build and deployment process
If the MVP successfully validates the core value proposition, the following next steps are recommended:
- Incorporate learnings into a more robust application
- Add user authentication and data persistence
- Implement session history and insights
- Develop personalized intervention recommendations
- Create a native mobile app or PWA for better performance and features
This ultra-minimal MVP will allow you to quickly validate the core concepts of EmotionWell before investing in more complex features and infrastructure.