The "What Should I Eat?" Picker is a fun, lightweight web application designed to help indecisive food lovers quickly decide on their next meal by generating random, appetizing suggestions at the click of a button.
Primary User: Indecisive food enthusiasts who regularly struggle to choose what to eat.
User Need: These users experience decision fatigue when it comes to meal choices, often spending excessive time deliberating between options or defaulting to the same meals repeatedly.
User Goal: To quickly receive appealing meal suggestions that simplify the decision-making process.
Meal decision-making creates several pain points:
- Decision paralysis when faced with too many meal options
- Wasted time deliberating between choices
- Tendency to fall back on the same limited rotation of meals
- Lack of inspiration for new meal ideas
- Household disagreements about what to eat
Users need a simple, fun tool that removes the burden of decision-making while introducing variety to their meal choices.
- Eliminate meal decision fatigue
- Provide diverse and appealing food suggestions
- Create a delightful, friction-free user experience
- Encourage culinary exploration and variety
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Random Meal Generator
- One-click interface to generate suggestions
- Visually appealing food imagery
- Option to refresh for new suggestions
- Basic meal description
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Preference Filtering
- Dietary restriction toggles (vegetarian, vegan, gluten-free)
- Meal type selection (breakfast, lunch, dinner, snack)
- Cuisine preferences (Italian, Mexican, Asian, etc.)
- Complexity level (quick & easy, moderate, gourmet)
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Save Favorites
- Ability to bookmark appealing suggestions
- View history of previously suggested meals
- Quick access to favorite selections
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Decision Finalization
- "I'll eat this!" confirmation button
- Brief celebratory animation/message
- Optional sharing of decision
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Main Generator Screen
- Large, appetizing food imagery
- Prominent meal name and brief description
- Big, accessible "Generate Meal Idea" button
- Simple preference controls
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Preference Panel
- Intuitive filter toggles and selectors
- Visual indicators of active filters
- Quick reset option
- Collapsible for mobile view
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Visual Design
- Appetizing color palette
- Food-related visual elements
- Playful, friendly typography
- Subtle animations for state changes
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Frontend
- HTML5, CSS3, JavaScript (or React for component structure)
- Responsive design prioritizing mobile use
- Accessible interface (WCAG 2.1 compliance)
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Core Components
- Food suggestion database/array
- Random selection algorithm with filtering
- Local storage for favorites and history
- Basic animation system
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Performance Requirements
- Near-instant suggestion generation
- Smooth image loading and transitions
- Minimal initial load time
- Offline functionality for basic features
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User Engagement
- Daily active users
- Average session duration
- Number of suggestions generated per session
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User Behavior
- Frequency of filter usage
- "I'll eat this!" confirmation rate
- Return usage patterns (mealtime correlation)
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User Feedback
- Helpfulness ratings
- Suggestion quality feedback
- Feature satisfaction survey
- Recipe links for suggested meals
- Local restaurant suggestions based on meal type
- Meal planning functionality for multiple days
- Group decision mode for households
- Integration with grocery delivery services
- Day 1 - Morning: Concept finalization & UI sketching
- Day 1 - Afternoon: Food database creation & randomization algorithm
- Day 1 - Evening: Basic UI implementation & generator functionality
- Day 2 - Morning: Preference filters & favorites system
- Day 2 - Afternoon: Visual styling, animations & usability improvements
- Day 2 - Evening: Final testing & demo preparation