WineROI Low Fidelity Mockups

# WineROI Low Fidelity Mockup Design Rationale ## Design Approach The low fidelity mockups for WineROI have been created with a focus on the core user flows and functionality that will deliver the most value to users. As the UI/UX Lead, I've prioritized creating an interface that is discreet, efficient, and informative - aligning with the key design principles outlined in the UI specifications. ### Key Design Principles Applied 1. **Discretion First**: The interface uses a dark color scheme by default, making it suitable for low-light restaurant environments. Controls are positioned for one-handed operation, allowing users to check wine values without drawing attention. 2. **Glanceable Information**: Value assessments are immediately visible through color-coded indicators (green for good value, neutral taupe for fair value, red for poor value) that can be understood at a glance. 3. **Progressive Disclosure**: Information is revealed in layers, with the most critical details (wine name, value assessment, price) visible first, and additional details available through further interaction. 4. **Confidence Building**: The value verdict screen provides clear explanations of why a wine is considered good/fair/poor value, building user confidence in their selection decisions. ## Core User Flows The mockups focus on five primary user flows that represent the core functionality of WineROI: 1. **Home & Discovery**: Providing quick access to search, nearby restaurants, and saved wines 2. **Search & Results**: Finding specific wines and viewing their value assessments 3. **Wine Detail**: Comprehensive wine information and value assessment 4. **Restaurant Wine List**: Browsing a restaurant's wine offerings with value indicators 5. **Contribution**: Adding wine pricing data to enhance the collective database ### VP Product's Perspective From discussions with our VP Product, we've prioritized features that deliver immediate value to users with minimal friction. The ability to quickly search for wines or browse restaurant wine lists addresses the core user need of making informed wine selections in restaurant settings. As our VP Product noted: "We need to focus on the minimum viable solution to validate our assumptions about user behavior in restaurant settings. The search, restaurant browsing, and value assessment features represent our core value proposition." ### VP Engineering's Input Our VP Engineering has provided valuable input on technical feasibility and implementation considerations. The design avoids complex animations or heavy data requirements that might impact performance in variable connectivity environments. The VP Engineering emphasized: "The offline capabilities and local caching will be critical for reliable performance in restaurant settings where connectivity may be limited. The design should accommodate graceful degradation when connectivity is poor." ## Design Decisions ### Navigation System The bottom navigation bar provides access to five key sections: - Home: Quick access to search and recently viewed content - Search: Dedicated search functionality - Scan: Camera interface for wine label recognition - Saved: User's saved wines for quick reference - Profile: Account settings and preferences This navigation pattern aligns with mobile platform conventions and ensures that key functions are accessible with thumb-reach zones for one-handed operation. ### Value Indication System The value indication system uses a combination of color and text to communicate wine value assessments: - Green + "Good Value": Wine is priced favorably compared to typical markup - Taupe + "Fair Value": Wine has standard restaurant markup - Red + "Poor Value": Wine has higher than typical markup This system allows users to quickly identify good values without requiring extensive wine knowledge, supporting our goal of building user confidence in wine selection. ### Search & Filter Experience The search experience is designed for efficiency, with: - Prominent search bar on the home screen - Recent searches for quick access - Filter chips for refining results - Clear value indicators on search results This approach allows users to quickly find specific wines or browse by category, supporting both directed and exploratory search behaviors. ### Restaurant Wine List View The restaurant wine list view is organized to mirror typical restaurant wine lists, with: - Categorization by wine type (red, white, sparkling, rosé) - Value indicators integrated alongside each wine - Filtering options to focus on good values - Quick access to wine details This familiar organization helps users navigate restaurant wine lists more effectively while adding the crucial value assessment layer. ### Contribution Flow The contribution flow is designed to be simple and rewarding: - Step-by-step process with clear progress indication - Minimal required fields (restaurant, wine, price) - Optional photo upload for verification - Thank you confirmation to reinforce contribution value This approach encourages user contributions while minimizing friction, helping to build the collective database that powers WineROI's value assessments. ## Accessibility Considerations The design adheres to accessibility best practices: - Color is never the sole indicator of meaning (value indicators use both color and text) - Touch targets are sized appropriately (minimum 44×44px) - Text contrast meets WCAG AA standards - Clear focus states for keyboard navigation - Semantic structure for screen reader compatibility ## Future Considerations As we move from low fidelity to higher fidelity designs, we should consider: 1. **Refined Visual Design**: Implementing the full color system and typography specifications from the UI documentation 2. **Animation & Transitions**: Adding subtle animations for the value verdict reveal and transitions between screens 3. **Empty States**: Designing appropriate empty states for first-time users and edge cases 4. **Error States**: Creating comprehensive error handling for connectivity issues and other failure modes 5. **Expanded Flows**: Developing additional screens for account management and advanced features ## Conclusion These low fidelity mockups provide a solid foundation for WineROI's user interface, focusing on the core functionality that delivers the most value to users. The design prioritizes discretion, efficiency, and clarity - enabling users to make confident wine selections in restaurant settings without requiring extensive wine knowledge. The next steps should include user testing with these low fidelity mockups to validate our assumptions about user behavior and preferences before moving to higher fidelity designs and implementation.