Arpita Sant
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Dishcision.

From craving to cuisine.

Project

Dishcision

Type

UX/UI Mobile App Design

Role

Visual Designer

Duration

1–2 months

The Framework

Rather than adding more filters or recommendations, I reimagined the decision-making journey itself.

01Decide the Dish First

Help users identify what they want to eat before asking where they want to order from.

02Reduce Cognitive Load

Present one meaningful decision at a time instead of overwhelming users with endless restaurant listings and menus.

03Explore Through Visual Discovery

High-quality dish imagery, categories, and contextual recommendations make browsing intuitive and enjoyable.

04Reach Ordering Faster

Once users decide on a dish, seamlessly connect them with nearby restaurants offering it, minimizing unnecessary steps.

These principles shaped every design decision that followed.

The Story

The Shift: food apps have become excellent at helping people find restaurants, but they still do little to answer the most important question what do I actually feel like eating?

The Core Insight: users rarely know the restaurant first. They crave a dish, a flavor, a texture, or a mood. Existing platforms force users to browse restaurants before discovering food, creating unnecessary cognitive effort.

The Opportunity: Dishcision is a dish-first discovery platform that reverses the traditional journey: Craving → Dish → Restaurant → Order, instead of Restaurant → Menu → Dish → Order.

Design Goal: design a decision-first food discovery experience that helps people confidently choose what to eat before deciding where to order from.

Key Product Decisions

Card 01

Dish-first instead of Restaurant-first

Traditional food apps begin with restaurants, assuming users already know where they want to order from. Dishcision reverses this flow because users usually know what they're craving before they know which restaurant to choose.

Card 02

Progressive Discovery instead of Endless Lists

Rather than overwhelming users with hundreds of restaurants, the experience reveals meaningful choices step by step, reducing cognitive load and making decisions feel easier.

Card 03

Inspiration before Search

Search works well when users know exactly what they want. Dishcision prioritizes discovery because many users begin with uncertainty rather than a specific query.

Card 04

Decision Support over Food Delivery

Dishcision is not trying to replace delivery platforms. Its primary purpose is to help users confidently decide what to eat, while existing delivery services handle ordering.

Every design decision was guided by one question: How can choosing what to eat feel easier than finding where to eat?

From Concept to Launch

Phase 01

MVP (Version 1)

The initial release intentionally focuses on solving one core problem: helping users confidently decide what to eat.

  • Dish-first discovery
  • Smart filtering by cuisine, mood, and cravings
  • Save dishes for later
  • Restaurant matching
  • Seamless transition to ordering

Every feature included in the MVP directly contributes to reducing food decision fatigue.

Phase 02

Future Roadmap

Opportunities scoped out of the first release, to be introduced once the core behavior is validated.

  • AI-powered craving recommendations
  • Group decision mode
  • Taste profile personalization
  • Social recommendations
  • Food journaling

Intentionally postponed to validate the core user behavior before expanding the product.

Phase 03

Success Metrics

How I would measure success after launch.

  • Time taken to choose a dish
  • Decision completion rate
  • Saved dishes per user
  • Repeat weekly usage
  • Conversion from dish discovery to ordering

The goal isn't to maximize browsing, it's to help users reach confident decisions faster.

Design System

Green + Red + Black on White

Clean, decisive, food-forward.

Green

#00C97B

Red

#E53935

Black

#1A1A1A

Visual Gallery

From craving to cuisine

01 — From craving to cuisine

Problem — gap in existing solutions

02Problem — gap in existing solutions

03 — USER PERSONAS — RAHUL

0303 — USER PERSONAS — RAHUL

Empathy map

04Empathy map

User flow — Daily Meal Recommendation

05User flow — Daily Meal Recommendation

Information Architecture

06Information Architecture

Splash + Onboarding + Home Dashboard

07Splash + Onboarding + Home Dashboard

Recipe Detail — missing ingredients CTA

08Recipe Detail — missing ingredients CTA

Explore screen

09Explore screen

Food Passport / Insights

10Food Passport / Insights

Order Delivered + gamification

11Order Delivered + gamification

Reflection

Biggest Insight

The project revealed a deeper problem than expected: people rarely struggle to find food, they struggle to decide. Designing around decision-making rather than food discovery fundamentally changed the product direction.

What I Learned

The project reinforced the value of product thinking over design execution.

  • Challenging existing user flows
  • Defining the core problem before designing solutions
  • Prioritizing user behavior over feature quantity

What I Would Validate Next

If Dishcision were developed further, I would validate:

  • Whether users naturally think in terms of dishes before restaurants
  • How group decision-making changes the experience
  • Which recommendation model drives the fastest decisions
  • Long-term user retention after the novelty wears off

Looking Ahead

"Dishcision isn't intended to replace food delivery apps. It's designed to solve the moment that happens before ordering, the decision itself. That's the opportunity I would continue exploring."