Healthy Recipe Coach - Product Requirements Document

Title: Healthy Recipe Coach Mobile App
Brief description: AI-powered personalized meal suggestion tool for busy urban professionals
Version: 1.0
Last updated: July 16, 2025
Team: Product, Engineering, Design
Driver: [Product Manager Name]
Status: Draft

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1. Problem to solve

Busy urban professionals aged 25-35 struggle to maintain healthy eating habits due to time constraints, lack of meal planning skills, and difficulty finding affordable, personalized recipe options that match their dietary goals and lifestyle preferences.

• Customer impact: Users spend excessive time researching recipes, often resort to unhealthy convenience foods, and struggle to maintain consistent healthy eating patterns that align with their personal goals and budget constraints.
• Business alignment: By providing personalized, accessible healthy meal solutions, we can capture market share in the growing health-conscious consumer segment and create recurring engagement through meal planning and grocery integration.
• Evidence: 73% of millennials report wanting to eat healthier but cite time constraints and lack of personalization as primary barriers (preliminary user research needed to validate).

2. Objective and key results

Objective: Simplify healthy eating for busy urban professionals by providing AI-powered, personalized meal suggestions that fit their dietary goals, lifestyle, and budget.

Customer Outcome: Users can easily discover, plan, and prepare healthy meals tailored to their specific needs without spending time researching recipes or worrying about nutritional value.

Key Results:

1. Achieve 70%+ weekly active usage among users who complete onboarding within first month
2. Generate 40%+ meal logging rate with users tracking at least 3 meals per week consistently
3. Reach 85%+ user satisfaction with recipe personalization accuracy based on in-app feedback ratings

3. Solution requirements

We want to deliver the personalized recipe coach in three progressive milestones:

Milestone 1: Core recipe suggestion engine with dietary goal filtering
Milestone 2: Advanced personalization with calendar planning and meal tracking
Milestone 3: Gamification features and grocery delivery integration

M1: Core recipe suggestion engine with dietary goal filtering

Discover personalized meal suggestions

• As a user, I can select my dietary goals from a dropdown (low carb, high protein, vegan, etc.) and receive AI-curated recipe suggestions
• I see each recipe with its health score, estimated cost, cooking time, and difficulty level
• I can filter suggestions by cooking time limits, available kitchen equipment, and budget preferences

View detailed recipe information

• As a user, I can tap on any suggested recipe to see ingredients list with individual costs, step-by-step instructions, and nutritional breakdown
• I see the health score calculation based on calories, processed food levels, and ingredient quality

M2: Advanced personalization with calendar planning and meal tracking

Plan and track meals

• As a user, I can add recipes to my meal calendar for advance planning and track completed meals
• I can view my meal history to ensure variety and see progress toward dietary goals
• The app learns my preferences over time and suggests recipes based on my cooking patterns and ingredient preferences

Enhanced personalization

• As a user, I receive a personalized "playlist" of favorite meals combined with recommendations from similar user profiles
• I can set weekly, daily, or monthly budget constraints and see ingredient costs for each meal suggestion

M3: Gamification features and grocery delivery integration

Gamified progress tracking

• As a user, I can view my progress toward personal dietary goals through achievement badges and progress indicators
• I see gamification elements that encourage consistent healthy eating and meal variety

Grocery integration

• As a user, I can directly order ingredients for selected recipes through integrated grocery delivery service
• I can track ingredients purchased and correlate with meals cooked for health progress measurement

4. Assumptions and hypothesis

Business assumptions

1. I believe my customers have a need to eat healthier without spending excessive time on meal planning and recipe research
2. These needs can be solved with AI-powered personalized recipe suggestions that consider dietary goals, lifestyle, and budget constraints
3. My initial customers are busy urban professionals aged 25-35 who value convenience and personalization
4. The number 1 differentiating benefit customers want is personalized meal suggestions that adapt to their specific preferences and lifestyle
5. I will acquire customers through health and wellness communities, social media targeting, and app store optimization

User assumptions

1. Who is the user? Urban professionals aged 25-35 who want to eat healthier but have limited time for meal planning
2. Where does our product fit? In the daily routine of meal decision-making, typically during lunch breaks or evening planning
3. What problems does it solve? Eliminates time spent researching recipes, provides personalized healthy options, and ensures budget-conscious choices
4. When and how is it used? Daily during meal planning moments, weekly for advance planning, and post-meal for tracking
5. What features are important? Personalization accuracy, quick recipe discovery, budget transparency, and progress tracking

Testable hypothesis

If we launch a personalized recipe coach with AI-powered suggestions and budget integration, then users will log at least 3 meals per week and maintain 70%+ weekly active usage within their first month.

5. Product risks and dependencies

Product Risks

1. AI recipe curation quality and accuracy
   If AI-generated suggestions are not well-curated or nutritionally sound, users may lose trust in the platform
2. Personalization algorithm effectiveness
   If the app fails to learn user preferences effectively, it may provide irrelevant suggestions leading to user churn
3. Budget accuracy and grocery price fluctuations
   If ingredient costs are not updated regularly, users may experience budget planning issues

Technical Dependencies

1. AI/ML infrastructure for recipe curation and personalization engine
2. Real-time grocery pricing API integration for cost calculations
3. User authentication and profile management system
4. Mobile app development for iOS and Android platforms
5. Backend infrastructure for meal calendar and tracking functionality
6. Third-party grocery delivery service API integration
7. Analytics and user behavior tracking system
8. Recipe database and nutritional information management

6. User flows

New User Onboarding and First Recipe Discovery

Goal: A new user completes onboarding and discovers their first personalized recipe

1. User downloads app and creates account
2. Onboarding flow collects dietary goals, restrictions, taste preferences, and budget range
3. User lands on home screen showing personalized recipe suggestions
4. User taps on a recipe → sees detailed view with health score, cost breakdown, and instructions
5. User can add recipe to calendar or mark as "interested" for future suggestions
6. App begins learning user preferences for future personalization

Weekly Meal Planning Flow

Goal: An existing user plans their meals for the upcoming week

1. User opens app and navigates to calendar view
2. User sees current week with planned meals and suggested recipes for empty slots
3. User taps on a day → sees meal suggestions filtered by their preferences and remaining weekly budget
4. User selects recipes for multiple days and adds to calendar
5. User can review total weekly cost and nutritional summary
6. User can initiate grocery order for all planned meals through delivery integration

Please provide Figma designs for onboarding flow, recipe detail view, and calendar planning interface

7. Delivery plan

Success criteria: Achieve 70%+ weekly active usage and 40%+ meal logging rate among onboarded users
Eligibility: Urban professionals aged 25-35 with iOS or Android devices
Test: AI-powered personalized recipe suggestions with budget integration and meal tracking
Control: Manual recipe search and planning methods
Ramp plan: Staged rollout starting with beta testing, then geographic expansion