Restaurant & Food Delivery Information Architecture Template
Restaurant and food delivery platforms serve hungry users with low patience: browsing menus, customizing orders, and checking out fast. This template helps you organize menus, filters, and features in a way that gets users from craving to ordering—with minimal friction.
Why Restaurant & Food Delivery IA Matters
The food delivery reality:
- 60% of consumers order food delivery at least weekly
- Users abandon 68% of carts due to complicated checkout
- Average decision time: 3-5 minutes (hunger drives urgency)
- Mobile accounts for 78% of food delivery orders
- Poor menu organization causes 54% of users to switch apps
Card sorting reveals:
- How users navigate menus: by meal type, dietary need, or popularity
- Whether filters (vegetarian, gluten-free) should be top-level or secondary
- Where delivery time, fees, and minimums should appear
- How to organize restaurant discovery (cuisine type vs. proximity vs. ratings)
Template Overview
What's Included
Ready-to-use cards (45 food delivery/restaurant elements):
- Restaurant discovery (Search Restaurants, Cuisine Types, Nearby, Top Rated)
- Menu browsing (Menu Categories, Dietary Filters, Popular Items, Deals)
- Order customization (Customize Item, Special Instructions, Portion Size)
- Checkout & delivery (Cart, Checkout, Delivery Address, Payment, Track Order)
- Account features (Favorites, Past Orders, Saved Addresses, Loyalty Rewards)
Recommended study type: Hybrid card sort (provide suggested categories, allow custom)
Suggested participants: 30-40 food delivery users (mix of ordering habits)
Time to complete: 10-12 minutes
Analysis time: 3-4 hours
The Template: Restaurant & Food Delivery IA Card Sort
Cards to Sort (45 items)
Restaurant Discovery (10 cards):
Search Restaurants
Browse by Cuisine Type
Nearby Restaurants
Top Rated / Recommended
Fast Delivery (30 min or less)
Free Delivery Offers
New Restaurants
Featured / Promoted
Price Range Filter ($ - $$$$)
Open Now
Menu & Food Browsing (12 cards):
Full Menu
Menu Categories (Appetizers, Entrees, Desserts)
Popular Items / Best Sellers
Daily Specials
Combo Meals / Meal Deals
Photos of Food
Dietary Filters (Vegetarian, Vegan, Gluten-Free, etc.)
Search Menu
Sort by Price
Nutritional Information
Allergen Information
Reviews & Ratings (for items)
Order Customization (8 cards):
Customize Item (toppings, sides, etc.)
Portion Size / Quantity
Special Instructions / Notes
Add to Favorites
Group Order (split payment)
Schedule Order (later time)
Repeat Past Order
Promo Code / Coupon
Checkout & Delivery (10 cards):
View Cart
Delivery Address
Delivery vs. Pickup
Delivery Time Estimate
Delivery Fee & Minimum
Payment Method
Tip Amount
Contact-Free Delivery
Order Summary / Review
Track Order (real-time)
Account & Features (5 cards):
Past Orders / Order History
Saved Favorites (restaurants & items)
Saved Addresses
Loyalty Points / Rewards
Account Settings
Suggested pre-made categories (for hybrid sort):
Category 1: Find Food
Category 2: Browse Menu & Order
Category 3: Checkout & Delivery
Category 4: My Account
Instructions for participants:
Welcome! We're redesigning our food delivery platform.
Please organize these restaurant features, menu tools, and ordering options into groups that make sense to you.
You can use the suggested categories or create your own.
Think about the last time you ordered food online—what would you look for first?
Takes about 12 minutes. Thank you for helping us improve your food ordering experience!
Real-World Example: Regional Food Delivery Platform
Before Card Sorting
Original navigation (platform's internal structure):
├─ Home
├─ Restaurants
│ ├─ Search
│ ├─ Cuisine
│ └─ Nearby
├─ Deals
├─ Track Order
├─ Account
│ ├─ Orders
│ ├─ Favorites
│ └─ Settings
└─ Cart
Problems:
- Users couldn't filter by dietary needs (buried in restaurant page)
- "Delivery time" not visible until checkout (59% cart abandonment)
- Mobile users struggled to customize items (small tap targets, hidden options)
- Reordering past favorites required 5+ clicks
- Delivery fees shown only at checkout (trust issue)
Card Sort Results
35 food delivery users sorted 45 elements. Key findings:
"Find Food" group (83%+ agreement):
- Search Restaurants
- Cuisine Types
- Nearby / Location
- Top Rated
- Fast Delivery
- Free Delivery Offers
"Browse & Filter" group (78%+ agreement):
- Menu Categories
- Popular Items
- Dietary Filters (Vegan, GF, etc.)
- Search Menu
- Photos
- Prices
"Customize & Add to Cart" group (81%+ agreement):
- Customize Item
- Quantity
- Special Instructions
- Add to Cart
- View Cart
"Checkout & Delivery" group (88%+ agreement):
- Delivery Address
- Delivery vs. Pickup
- Delivery Time
- Delivery Fee (MUST be visible early!)
- Payment
- Tip
- Place Order
"Quick Access" group (72%+ agreement - expected to be persistent):
- Search
- Cart
- Track Order
- Past Orders / Favorites
Surprising insights:
- 87% expected "Dietary Filters" to be TOP-LEVEL (not buried in each restaurant)
- Users wanted to see "Delivery Time" and "Delivery Fee" BEFORE entering restaurant menu
- "Popular Items" and "Best Sellers" should be DEFAULT view (not "Full Menu A-Z")
- "Reorder Favorites" should be ONE TAP from homepage (not 5 clicks deep)
- Photos are CRITICAL—users won't order items without photos (82% agreement)
- "Group Order" feature should be prominent for office/family orders
- "Promo Codes" should appear BEFORE checkout, not just at payment
Implemented Solution
New navigation (based on card sort):
Mobile Bottom Nav:
├─ Home
├─ Search
├─ Orders
├─ Account
└─ Cart
Home Screen:
├─ Delivery Address (changeable at top)
├─ Search Bar ("What are you craving?")
├─ Quick Filters
│ ├─ Fast Delivery
│ ├─ Free Delivery
│ ├─ Vegan
│ ├─ Deals
│ └─ Top Rated
├─ Reorder Favorites (past orders, 1-tap reorder)
├─ Nearby Restaurants
├─ Browse by Cuisine
└─ Featured / Promoted
Restaurant Menu Page:
├─ Restaurant Info (rating, delivery time, fee, minimum)
├─ Dietary Filters (Vegan, GF, Vegetarian, etc.)
├─ Popular Items (default view)
├─ Menu Categories (Appetizers, Entrees, Desserts, Drinks)
├─ Search This Menu
└─ [Each item shows photo, price, description]
Item Customization (modal):
├─ Item Photo
├─ Customize Options (checkboxes, dropdowns)
├─ Portion Size
├─ Quantity
├─ Special Instructions
├─ Add to Cart
└─ Total Price (updates in real-time)
Cart & Checkout:
├─ Cart Items (editable)
├─ Delivery Address
├─ Delivery vs. Pickup
├─ Delivery Time (ASAP or schedule)
├─ Promo Code
├─ Subtotal
├─ Delivery Fee
├─ Taxes & Fees
├─ Tip (suggested amounts)
├─ Total
├─ Payment Method
└─ Place Order
Order Tracking:
├─ Real-Time Map
├─ Order Status (Preparing, On the way, Delivered)
├─ Driver Info (if on the way)
├─ Estimated Arrival Time
└─ Contact Driver / Restaurant
Results after 90 days:
- Cart abandonment rate: 68% → 31%
- Orders from returning customers: +143%
- Average order value: +27% (better customization)
- Dietary filter usage: +318%
- Customer satisfaction: +41 points
- Mobile conversion rate: +89%
- "Reorder favorites" usage: +520%
Best Practices for Restaurant & Food Delivery Card Sorting
1. Test with Real Food Orderers
Don't test with:
- Restaurant staff (they know menu intimately, think differently)
- People who don't order delivery
- Only one user type (family orders vs. solo vs. office lunches differ)
Do test with:
- Weekly delivery users (ordered in last 7 days)
- Mix of dietary needs (vegan, gluten-free, allergies, omnivores)
- Mix of order types (solo, family, office)
- Both mobile-first and desktop users
2. Prioritize Speed and Clarity
Food delivery users are hungry and impatient:
- Decision time: 3-5 minutes
- High abandonment if confused
- Trust is critical (delivery time, fees, quality)
Test which information must be visible early:
- Delivery time
- Delivery fee
- Restaurant rating
- Item photos
3. Dietary Filters Are Critical
Many users have dietary restrictions or preferences:
- Vegetarian, vegan, gluten-free, dairy-free, nut-free
- Religious dietary laws (halal, kosher)
- Health goals (low-carb, high-protein)
Card sorting reveals whether dietary filters should be:
- Platform-level (find vegan restaurants)
- Menu-level (show only vegan items)
- Both (most common result)
4. Reordering Favorites Should Be Fast
Repeat customers are the most valuable:
- 40-60% of orders are repeats of past orders
- Users want 1-tap reorder from homepage
- "Favorites" should surface frequently ordered items and restaurants
Test where past orders and favorites belong: Homepage? Account section? Both?
5. Mobile-First, Thumb-Friendly Design
78% of food delivery happens on mobile:
- Bottom tab bar (not top hamburger menu)
- Large tap targets for customization options
- Easy-to-edit cart
- One-handed operation
Test mobile-specific features:
- Quick reorder buttons
- Voice search
- Saved addresses for common locations
- Apple Pay / Google Pay integration
Common Restaurant & Food Delivery IA Patterns
Pattern 1: Restaurant-First (Discovery Focus)
├─ Home (featured restaurants)
├─ Cuisine Types
│ ├─ Pizza
│ ├─ Asian
│ ├─ Mexican
│ └─ [more cuisines]
├─ Nearby
├─ Top Rated
└─ [Then enter restaurant → menu]
Best for: Marketplace platforms with many restaurants
Pros: Helps discover new restaurants, browsing-friendly Cons: Slower path to food, harder to cross-restaurant search
Example: Uber Eats, DoorDash, Grubhub
Pattern 2: Food-First (Search/Filter Focus)
├─ Search Food ("What are you craving?")
├─ Quick Filters
│ ├─ Pizza
│ ├─ Burgers
│ ├─ Vegan
│ └─ Fast Delivery
├─ Results (dishes from ALL restaurants)
└─ [Select dish → restaurant → order]
Best for: Platforms prioritizing speed, users who know what they want
Pros: Fastest path to specific food, cross-restaurant comparison Cons: Less restaurant discovery, brand confusion
Example: Postmates (Uber Eats now), some regional platforms
Pattern 3: Favorites-First (Repeat Orders)
├─ Reorder Favorites (1-tap)
├─ Past Orders
├─ Saved Restaurants
└─ Browse New Restaurants
Best for: Mature platforms with high repeat usage
Pros: Fast for returning customers, high conversion Cons: Less discovery, requires login/account
Example: Seamless (Grubhub), ChowNow
Pattern 4: Hybrid (Multi-Path)
Home Screen:
├─ Search ("Pizza, Burgers, Sushi...")
├─ Quick Actions
│ ├─ Reorder Favorites
│ ├─ Fast Delivery
│ └─ Free Delivery
├─ Browse by Cuisine
├─ Nearby Restaurants
└─ Top Rated
Multiple paths to same food
Best for: Full-service platforms, diverse user base
Pros: Serves all user types (new, returning, browsers, searchers) Cons: More complex, requires good UX
Example: Uber Eats (current), DoorDash (current)
Using This Template
Step 1: Customize for Your Platform (20 minutes)
Replace generic cards with your specific features:
Generic template:
- Cuisine Types
- Nearby Restaurants
- Top Rated
Your platform (e.g., healthy meal prep service):
- Meal Plans (Weekly Subscription)
- Macros & Nutrition Goals
- Build Your Own Box
- Pre-Made Meals
- Dietary Preferences (Keto, Paleo, Vegan)
- Calorie Range
- Delivery Schedule (weekly)
Include your unique features (e.g., "Ghost Kitchen Only," "Farm-to-Table," "Chef Profiles").
Step 2: Set Up Study (5 minutes)
Settings:
- Type: Hybrid card sort (provide suggested categories, allow custom)
- Cards: 40-50
- Suggested categories:
- Find Food
- Browse & Order
- Checkout & Delivery
- My Account
- Collect: Name, Email, Order frequency (screening)
Step 3: Recruit Food Delivery Users (2-3 days)
Screening questions:
- How often do you order food delivery? (Daily / Weekly / Monthly)
- What device do you use most? (Mobile app / Mobile web / Desktop)
- Do you have dietary restrictions? (Yes/No - for segmentation)
Email template:
Subject: Help improve our food delivery app (12 min, $15 gift card)
Hi [Name],
We're redesigning our food ordering platform and need your input!
Help us organize restaurant search, menus, and ordering features in a way that makes ordering easier. It takes 12 minutes, and you'll receive a $15 gift card.
[Link to study]
Plus, get early access to our new features!
Thank you,
[Your Food Delivery Platform]
Target: 30-40 participants (mix of ordering habits and dietary needs)
Step 4: Analyze by User Behavior (3-4 hours)
Look for:
-
Discovery vs. reordering:
- How do users balance browsing new restaurants vs. reordering favorites?
- Should homepage prioritize discovery or speed?
-
Menu navigation:
- Menu categories vs. search vs. popular items
- Where do dietary filters belong?
-
Checkout friction points:
- When should delivery time/fee appear?
- How to handle customization?
- Promo code placement
-
Account features:
- What deserves quick access (favorites, past orders)?
- Profile settings vs. order management
Step 5: Design for Hunger-Driven UX (2 weeks)
Based on results:
-
Homepage (critical first impression):
- Search bar (prominent)
- Quick filters (dietary, delivery time, deals)
- Reorder favorites (1-tap)
- Restaurant discovery (nearby, top-rated, cuisine)
-
Restaurant/Menu page:
- Restaurant info (rating, delivery time, fee)
- Dietary filters
- Popular items (default view)
- Menu categories
- Photos for every item
-
Customization flow:
- Clear options (checkboxes, dropdowns)
- Real-time price updates
- Special instructions
- Add to cart (clear button)
-
Checkout:
- Editable cart
- Delivery details (address, time)
- Fee transparency
- Promo code
- Payment & tip
- Order confirmation
Step 6: Test Ordering Scenarios (1 week)
Usability testing scenarios:
- "You're craving pizza. Find and order a large pepperoni pizza."
- "You're vegan. Find a restaurant with vegan options and order."
- "Reorder what you had last Tuesday."
- "You want food delivered in 30 minutes or less. Find options."
- "Add a special instruction (no onions) to your order."
Target: 90%+ can complete order in under 3 minutes
Metrics to Track Post-Launch
Ordering funnel:
- Homepage → restaurant browse rate
- Restaurant page → menu view rate
- Menu → add to cart rate
- Cart → checkout initiation rate
- Checkout → order completion rate
- Overall conversion rate
User engagement:
- Search usage
- Filter usage (especially dietary)
- Reorder/favorites usage
- Average session time
- Orders per user per month
Order metrics:
- Average order value
- Items per order
- Customization usage
- Repeat order rate
- Cart abandonment reasons
Customer satisfaction:
- App store rating
- Customer reviews
- Support tickets ("where is...?")
- Net Promoter Score (NPS)
- Delivery time accuracy
Target improvements:
- 30-50% reduction in cart abandonment
- 40-60% increase in repeat orders
- 50-80% increase in dietary filter usage
- 20-30% increase in average order value
- 25-35% improvement in app store rating
Related Templates
- E-commerce IA Template
- Mobile App IA Template
- Travel Agency IA Template
- Healthcare Website IA Template
Frequently Asked Questions
Q: Should dietary filters be at platform level or menu level? A: Card sorting typically shows BOTH—users want to find restaurants with vegan options (platform level) AND filter a restaurant's menu to show only vegan items (menu level).
Q: How do we organize menus with 100+ items? A: Card sort reveals HIGH-LEVEL structure (Popular, Categories, Dietary, Search). Most users prefer "Popular Items" as default view, not alphabetical or category list.
Q: Should delivery fee appear before or after entering restaurant? A: Card sorts overwhelmingly show delivery fee, time, and minimum should appear BEFORE users browse menu. Hidden fees kill trust and cause cart abandonment.
Q: Where should "Reorder" and "Favorites" live? A: Most users expect these on HOMEPAGE for fast access (1-tap reorder). Secondary placement in Account section for management.
Q: How do we handle restaurant chains vs. independent restaurants? A: Not typically part of IA card sort, but users expect consistent experience. Location selection can be part of restaurant page rather than separate listings.
Ready to Optimize Your Food Delivery IA?
Use this template now (free) →
What you'll get:
- Pre-configured food delivery card sort
- User ordering behavior insights
- Menu navigation analysis
- Export results for design team
No credit card required. 3 free studies.
Next Steps
- Create free account (2 minutes)
- Load food delivery template (1 click)
- Customize with your features (20 minutes)
- Send to 30-40 users (2-3 days)
- Identify ordering patterns (3 hours)
- Redesign for fast ordering (2 weeks)
- Increase conversion rate (ongoing)
Start optimizing your food delivery IA today.