UX Case Study

Naama: Reducing Restaurants Food Waste App

A mobile app that helps restaurants reduce food waste by offering discounted unsold meals to nearby users through real-time stock, and eco-impact tracking.

meal card component
current order component
meal card component
money saved component
meal item component
view toggle component
Naama mockup

UX Case Study

Naama: Reducing Restaurants Food Waste App

A mobile app that helps restaurants reduce food waste by offering discounted unsold meals to nearby users through real-time stock, and eco-impact tracking.

meal card component
current order component
meal card component
money saved component
meal item component
view toggle component
Naama mockup

UX Case Study

Sync: Managing Remote Work & Productivity Extension

A mobile app that helps restaurants reduce food waste by offering discounted unsold meals to nearby users through real-time stock, and eco-impact tracking.

meal card component
current order component
meal card component
money saved component
meal item component
view toggle component
Naama mockup

UX Case Study

Naama: Reducing Restaurants Food Waste App

A mobile app that helps restaurants reduce food waste by offering discounted unsold meals to nearby users through real-time stock, and eco-impact tracking.

meal card component
current order component
meal card component
money saved component
meal item component
view toggle component
Naama mockup

Problem Statement: The Incentive Misalignment Crisis

Food waste represents a massive global crisis. Restaurants discard 4-10% of prepared inventory daily. Globally, 1.3 billion tons of food is wasted yearly—costing $940 billion and emitting more CO2 than aviation, plastics, or oil extraction combined.

But here's the paradox: the supply exists. The demand exists. Yet the market doesn't work.

The reason isn't logistics—it's incentive misalignment. Three stakeholders with conflicting interests:

Restaurants: Have surplus meals (genuine problem) but operating constraints that prevent action:

  • Exposing inventory reveals inefficiency (operational risk)

  • Quality concerns with leftover food (reputation risk)

  • No guarantee buyers will come (revenue uncertainty)

  • Discounting creates price perception issues (brand risk)

Consumers: Want affordable, quality food (genuine demand) but have trust barriers:

  • Unknown restaurants = unknown food safety

  • "Leftover" implies compromised quality

  • No transparency about freshness, ingredients, or preparation

  • Can't verify if discounted meals are actually a deal

Existing platforms: Tried to bridge the gap but solved for logistics (matching supply to demand) while ignoring trust (the actual blocker).

The systemic insight: This isn't a food waste problem. It's an incentive alignment problem. Until restaurants see participation as safe and consumers see the offering as trustworthy, the market stays broken.

Solution Overview: Rescuing Meals Before They're Wasted

I designed an app that connects consumers with nearby restaurants offering discounted leftover meals. The app aims to:

  • Help restaurants reduce food waste and recover costs.

  • Provide consumers with affordable, high-quality meals.

  • Empower users with transparency, choice, and a simple buying experience.

Outlining Environment Impact

Motivating the user to complete his meal purchasing journey by informing him of the number of meals saved from waste, the amount saved, points earned and the reduction in CO2 production that might be emitted if the meal was wasted.

Outlining Environment Impact
Track Current Order

The ability to track the current order mainly as it appears at the bottom of each page to know the location of the driver or the place where the order was received.

Track Current Order
Detailed Meal Information

Having detailed information about each meal, including ingredients, date of preparation and completion, pictures of the meal, and the number of people it can feed, with the ability to see user ratings to increase confidence.

Detailed Meal Information
Interactive map-based

Connects users to nearby restaurants and cafes that offer leftover meals at reduced prices, either by map method or list method, with the ability to filter restaurants according to price, distance, and type of food.

Interactive map-based

Outlining Environment Impact

Motivating the user to complete his meal purchasing journey by informing him of the number of meals saved from waste, the amount saved, points earned and the reduction in CO2 production that might be emitted if the meal was wasted.

Outlining Environment Impact

Track Current Order

The ability to track the current order mainly as it appears at the bottom of each page to know the location of the driver or the place where the order was received.

Track Current Order

Detailed Meal Information

Having detailed information about each meal, including ingredients, date of preparation and completion, pictures of the meal, and the number of people it can feed, with the ability to see user ratings to increase confidence.

Detailed Meal Information

Interactive map-based

Connects users to nearby restaurants and cafes that offer leftover meals at reduced prices, either by map method or list method, with the ability to filter restaurants according to price, distance, and type of food.

Interactive map-based

Click Me!

Click Me!

Click Me!

Click Me!

My Design Process

I applied the design thinking process. I conducted competitive analysis, surveys, and persona creation to understand the problem space, then developed the user flow, wireframes, and final UI.

design process

Competitive Analysis

I analyzed three existing food-rescue platforms. Each solved the logistics problem elegantly but completely missed the trust problem.

Competitive Analysis table

Competitor Patterns:

  • Inadequate notifications (users missed opportunities, creating unreliability)

  • Confusing navigation (users couldn't find meals easily, reducing trust in the platform)

  • Absent social proof (no reviews, ratings, or user history = no reason to trust unknown restaurants)

  • No alerts on inventory depletion (users arrived at restaurants only to find meals gone = frustration and distrust)

  • Insufficient quality assurance (no visible verification of meal freshness or ingredients)

Why they failed: They designed for the seller (restaurants), not the buyer's trust. They assumed transparency would happen through simplicity. But users don't trust what they can't verify.

The Market Gap: A platform could reduce food waste and build a sustainable business if it positioned itself as a trust intermediary—not a discount marketplace.

user reviews

Research Validation: What Blocks Adoption

Survey findings with 50+ users revealed the real barrier:

  • 82.4% valued environmental preservation (motivation exists)

  • 88.2% expressed food quality concerns (trust is the blocker, not price)

  • 94.1% prioritized transparency (explicitly stated: they'll participate if we show them it's safe)

But critically: 50% hadn't tried similar apps despite motivation. Why? Because existing platforms didn't solve the trust problem. They said "discounted food from restaurants" without proving "this is actually good food, prepared safely, from a restaurant I trust."

The insight: The market failure wasn't demand-side. It was that competing solutions didn't understand what trust actually requires in food contexts.

survey results

Persona Development: Mapping Motivation vs. Friction

  • Iman (21, student): Motivated by affordability but blocked by trust—needs proof the meal is quality and safe. Won't participate if "leftover" feels risky.

  • Mohammed (35, researcher): Motivated by sustainability but blocked by transparency—needs to see CO2 impact, ingredient sourcing, restaurant credibility. Won't participate in a "discount app" if it obscures the actual environmental/sourcing story.

Strategic insight from personas: Neither needs discounts. They need permission—reassurance that participating is safe and meaningful.

persona
persona

User Journey: Identifying Where Trust Breaks

Mapped Iman's experience: discovers meal → questions freshness → checks restaurant → unsure about ingredients → abandons purchase.

Each friction point was a trust question, not a convenience question:

  • Where's this meal from? (Who's the restaurant?)

  • Is it fresh? (When was it prepared?)

  • What's in it? (Ingredients, allergens?)

  • Can I trust this deal? (Why is it discounted—overstocked or leftover?)

user journey

Design had to answer each question before the user asked it.

Ideation

After understanding the needs of users, their goals, and the difficulty points of competing applications, work was done to produce the ideas necessary for the application to achieve its purpose.

ideation

Information Architecture: Transparency-First Design

Rather than "meal browsing → checkout," the IA became "verify trust → then purchase."

Navigation centered on transparency:

  • Discovery (Map + List): Shows restaurants first, meals second (build restaurant credibility before discounts)

  • Meal Details: Ingredients visible, preparation time shown, restaurant rating prominent (answer "is this safe?")

  • Restaurant Profile: Kitchen certifications, food safety record, customer reviews (third-party social proof)

  • Order Status: Real-time delivery tracking + meal quality photos (proof the meal arrived as promised)

  • Impact Dashboard: Meals saved, CO2 reduced, money saved (make the environmental impact visible—motivation reinforcement)

Information architecture
userflow

Strategic positioning: Every screen answered one question: "Why should I trust this?"

Design System: Sustainability as Visual Language

The visual identity communicated sustainability and trust:

  • Arabic logo: Plant sprouting in the letter "ة" (symbolizes food preservation, growth, renewal—not "discount shopping")

  • Color palette: Green and earth tones (environmental commitment, freshness)

  • Typography & imagery: Clean, transparent (nothing to hide)

  • Meal photography: Professional, detailed (shows food quality, not "leftovers")

  • Trust indicators: Restaurant certifications, user ratings, ingredient badges (visible credibility)

Strategic decision: Branding wasn't about "cheap food"—it was about "conscious consumption." This reframed participation from "getting a deal" to "making an impact."

style guide

Impact: What This Design Reveals About Solving Marketplace Problems

While Naama is a conceptual project, it demonstrates a critical insight about how to solve marketplace problems: trust beats logistics.

What the Design Reveals:

For Marketplace Strategy:

  • Food waste platforms fail not because they're poorly designed—they fail because they solve the wrong problem (logistics instead of trust)

  • Restaurants' participation barrier isn't operational complexity—it's reputation risk

  • Consumers' barrier isn't price—it's confidence in food safety

  • The winning platform aligns incentives by building credibility into the system, not bolting it on later

For Design Approach:

  • Transparency-first IA (showing restaurant credibility before showing meals) fundamentally changes how users evaluate the offering

  • Sustainability branding isn't decoration—it reframes participation from "getting a discount" to "making an impact" (changes user motivation)

  • Design system choices (photography, certifications visible, impact dashboard) signal trustworthiness before a user interacts with the product

For Future Work:

  • This approach transfers to any marketplace (rental, services, goods) where trust is the bottleneck

  • The framework: identify what users don't trust → make that visible first → then optimize logistics

  • Building trust into the system architecture beats adding trust features later

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