Sample PRD – Food Delivery App- This is just a part of actual PRD.

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Author: ProdMoh

Product Description: get food delivered at home

Created At: 02/10/2025, 20:11:58

1. Product Description

[App Name] is a mobile application designed to simplify and enhance the experience of ordering food from local restaurants for home delivery. Our platform connects hungry users with a diverse range of culinary options, ensuring a convenient, reliable, and personalized food delivery service directly to their doorstep. We aim to offer a seamless journey from browsing menus to real-time order tracking and secure payment, making quality food accessible with just a few taps

2. Product Vision

Our vision is to empower individuals to effortlessly explore and enjoy diverse culinary experiences from the comfort of their homes, while simultaneously providing restaurants with a powerful, efficient platform to expand their reach and customer base. We aspire to be the most trusted and user-centric food delivery service, known for its variety, reliability, and exceptional customer experience.

3. Product Objectives & Key Results (OKRs)

Purpose: To define clear, measurable goals for the product's success and outline how these achievements will be quantified.

Goal: Establish [App Name] as the preferred and most reliable food delivery platform in our target launch regions.

Objective 1: Achieve significant user acquisition and engagement in target markets.

  • KR 1.1: Acquire 100,000 active users within the first 6 months post-launch.
  • KR 1.2: Increase the average number of orders per active user to 2.5 per month within 9 months.
  • KR 1.3: Maintain an average session duration of 3+ minutes per user.

Objective 2: Ensure high customer satisfaction and foster strong user retention.

  • KR 2.1: Achieve an average customer rating of 4.5 stars or higher for delivered orders.
  • KR 2.2: Attain a 3-month user retention rate of 70% or higher.
  • KR 2.3: Reduce customer support resolution time to under 15 minutes for critical issues.

Objective 3: Build a robust and efficient restaurant and delivery partner network.

  • KR 3.1: Partner with 200 high-quality restaurants in key launch cities within 3 months.
  • KR 3.2: Achieve an average delivery time of under 35 minutes for 90% of all orders.
  • KR 3.3: Maintain a 98% order fulfillment rate (orders delivered without significant issues).
4. Product Strategy

Our strategy for [App Name] is rooted in a three-pronged approach focusing on the Customer, Company, and Competition (3Cs), ensuring sustainable growth and market differentiation.

Customer-Centricity

We will prioritize a seamless and delightful user experience. This means understanding user pain points – such as the indecision of "what to eat," the desire for quick and reliable delivery, and the need for personalized options.

Example: We address the "what to eat?" pain point by offering intuitive search filters (cuisine, dietary needs, price) and eventually, personalized recommendations based on past orders and browsing history. For busy professionals, quick reorder functionality and pre-set favorites will save valuable time.

Company Strengths & Goals

We will leverage technology to build a highly efficient logistics platform and foster strong relationships with restaurant partners. Our goal is to create operational excellence and a strong brand reputation for reliability and quality.

Example: By developing a sophisticated backend for driver dispatch and route optimization, we can achieve competitive delivery times (OKR 3.2), which directly contributes to customer satisfaction and differentiates us from less efficient competitors. We will also invest in building a dedicated restaurant partner success team to ensure high-quality menu data and smooth order processing.

Competitive Differentiation

The food delivery market is crowded. We will differentiate ourselves by focusing on superior user experience, fair commission structures for restaurants, and potentially targeting underserved geographical areas or niche cuisine categories.

Example: While large players like DoorDash or Uber Eats offer broad coverage, they sometimes face criticism for high restaurant commissions and generic customer service. We can attract high-quality local restaurants by offering more competitive commission rates and dedicated support, leading to a better selection for our users. We will also analyze competitors' customer feedback to identify common complaints (e.g., inaccurate order tracking, poor support) and build features that directly address these shortcomings.

5. Product Features
FeaturePriorityPain Point AddressedDescription
User Registration & ProfileHighTedious account setupQuick signup, saved addresses, secure payments.
Restaurant Discovery & SearchHighLimited optionsBrowse/filter by cuisine, dietary needs, rating, price, or dish.
Menu Browsing & CustomizationHighNo personalizationMenus with photos, customizations, add-ons.
Order Placement & CartHighComplex checkoutSimple cart with promo codes.
Secure Payment GatewayHighPayment concernsPCI DSS compliant, wallets, cards, UPI.
Real-time TrackingHighUncertainty of deliveryLive driver location + ETA updates.
Ratings & ReviewsMediumNo feedback loopRatings for restaurants & drivers.
Order History & ReorderMediumRepetitive orderingReorder favorites with one click.
In-App Support ChatMediumSlow resolutionsDirect in-app support chat.
Promotions & DiscountsMediumHigh delivery costDiscounts, loyalty offers.
Personalized RecommendationsLowDecision fatigueAI-driven suggestions.
6. Success Metrics and KPIs

To accurately measure the performance and success of [App Name]'s features and overall product, we will track the following key metrics and KPIs:

Overall Product Health

  • Monthly Active Users (MAU): Number of unique users interacting with the app monthly.
  • Gross Merchandise Volume (GMV): Total value of all orders placed through the platform.
  • Average Order Value (AOV): Average monetary value of each order placed.
  • Customer Lifetime Value (CLTV): Predicted revenue a customer will generate over their relationship with the app.
  • Net Promoter Score (NPS): Measures overall customer satisfaction and loyalty.

User Acquisition & Engagement

  • New User Sign-ups: Number of new accounts created.
  • Conversion Rate (Download to First Order): Percentage of users who place an order after downloading the app.
  • Session Duration: Average time users spend in the app per session.
  • Orders Per Active User: Average number of orders placed by an active user per month.

Operational Efficiency & Quality

  • Average Delivery Time: Mean time from order placement to delivery.
  • Order Accuracy Rate: Percentage of orders delivered without missing or incorrect items.
  • Delivery Success Rate: Percentage of orders successfully completed without cancellation due to delivery issues.
  • Restaurant Partner Satisfaction Score: Survey-based score for restaurant partners.

Customer Satisfaction & Retention

  • Customer Satisfaction Score (CSAT): Survey-based score for specific interactions (e.g., post-delivery, support interaction).
  • Retention Rate (7-day, 30-day, 90-day): Percentage of users who return to the app after a specified period.
  • Churn Rate: Rate at which users stop using the service.
  • Average Rating (Food/Driver): Mean rating received for food quality and driver performance.

Feature-Specific KPIs

  • Search-to-Order Conversion Rate: Percentage of users who place an order after using the search or filter functionality.
  • Real-time Tracking Usage: Percentage of orders where users actively open the tracking screen.
  • Reorder Rate: Percentage of past orders that are reordered.
  • Promo Code Redemption Rate: Percentage of applicable promo codes that are successfully used.
  • Customer Support Chat Resolution Rate: Percentage of support chats that are marked as resolved by the agent or user.
7. Target Audience

Our target audience includes a diverse set of individuals united by their need for convenient, quality food delivery. We've identified three core personas:

1. The Busy Professional: "Sarah"

  • Demographics: 32-year-old Marketing Manager, lives in a city apartment, single. Tech-savvy and values efficiency.
  • Needs/Goals: Quick, convenient, and healthy meal options after long workdays. Reliability and diverse cuisine choices are important to avoid cooking.
  • Pain Points: Too tired or no time to cook; limited healthy fast-food options; decision fatigue when choosing what to eat.
  • Use Case: Sarah finishes a demanding workday at 7 PM. She's exhausted and doesn't want to cook. She opens [App Name], filters for "healthy" or "quick delivery" options, finds a highly-rated local poke bowl place, customizes her order to remove an ingredient, places it using a saved payment method, and tracks its arrival in real-time while winding down.

2. The Family Organizer: "David"

  • Demographics: 45-year-old Father of two, works remotely, lives in the suburbs. Budget-conscious but prioritizes convenience for family meals.
  • Needs/Goals: Ordering for multiple people with varying preferences (kids vs. adults); needs family-sized portions or combo deals; values variety and good value.
  • Pain Points: Coordinating different food preferences for the whole family; finding restaurants with suitable options for everyone; managing multiple orders or dietary needs.
  • Use Case: It's Friday night, and David wants to order a relaxed family dinner. His kids are craving pizza, while he and his wife want something healthier. He uses [App Name] to browse restaurants with diverse menus or finds a deal for family bundles. He places the order, ensuring dietary notes for his child's allergy are included, and uses a family promo code. He appreciates the transparency of tracking to keep the kids excited.

3. The Tech-Savvy Foodie: "Liam"

  • Demographics: 24-year-old Software Engineer, lives downtown, single. Enjoys exploring new restaurants and unique cuisines.
  • Needs/Goals: Access to unique, high-quality, and trending restaurants; detailed menu information with high-resolution photos; personalized suggestions for new culinary experiences.
  • Pain Points: Limited discovery of "hidden gem" restaurants; generic or uninspiring recommendations; lack of authentic visual representation of food.
  • Use Case: Liam is looking to try a new, highly-rated fusion restaurant he saw on social media. He searches for it on [App Name], meticulously reviews the high-quality menu photos, reads multiple user reviews, and customizes his order with specific instructions. He then rates the restaurant and delivery experience, sharing his insights with the community.
8. Functional Requirements (summary)
  • User account mgmt (signup/login, reset, profile, addresses, payments)
  • Restaurant & menu browsing, search, filters
  • Order mgmt: cart, checkout, promo codes
  • Payment: wallets, cards, PCI compliance
  • Tracking: order status, driver map, notifications
  • Post-order: history, reorder, reviews
  • Support: in-app chat, FAQ, contact info
  • Admin tools: onboarding, driver mgmt, analytics
9. Non-Functional Requirements
  • Performance: load < 2s, support 10k+ users
  • Security: TLS 1.2+, AES-256, PCI DSS
  • Reliability: 99.95% uptime, backup/recovery
  • Scalability: 10x growth readiness
  • Usability: WCAG 2.1 AA, intuitive UX
  • Maintainability: modular, documented
  • Compatibility: iOS/Android latest versions
10. User Stories
  • As a user, I want to sign up/login easily.
  • As a user, I want to browse restaurants & menus.
  • As a user, I want to customize and order food securely.
  • As a user, I want to track delivery in real-time.
  • As a user, I want to reorder past meals quickly.
  • As a user, I want to rate and review my order.
  • As a user, I want in-app support for quick help.
11. Other Relevant Information
  • Scope: Launch in 2-3 metro cities.
  • Out of Scope: partner app, advanced loyalty, cross-platform web.
  • Assumptions: reliable delivery pool, restaurant partnerships, approvals.
  • Open Questions: marketing budget, driver model, health/safety enforcement.