REBEL FOODS - NOvember 2021
REBEL FOODS - NOvember 2021
REBEL FOODS - NOvember 2021

Designing How Groups Order Food Together

My Role

Product Designer

Interaction Design, Visual Design, User Flows, Rapid Prototyping

Team

Me

Anirudh (Design Lead)

Apeksha (Research)

Omkar (Product Design)

Wasim (Interaction Design)

Timeline

4 Months, Launched in Nov 2021

Overview

Group food ordering was chaotic. 15-30 minutes deciding restaurants, multiple phones for variety, 25-minute delivery gaps. Traditional platforms treated group orders as separate transactions, missing that group dining is about shared experiences and connection.


Rebel Foods reimagined this through EatSure's "Digital Food Court", unified browsing, real-time shared carts, transparent payments. Launched across 75+ cities with 2,000+ orders, onboarded 40% new users, and 3x higher order values.

HIGHLIGHTS

Turning group ordering chaos into India's first multi-restaurant experience, tripling order values and scaling across 75+ cities.

1.1

UI Design

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1.1

UI Design

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1.1

UI Design

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1.2

UI Design

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1.2

UI Design

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1.2

UI Design

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1.3

UI Design

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1.3

UI Design

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1.3

UI Design

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CONTEXT

The Indian Group Dining Reality

Key market context

India's food culture is inherently social, from family gatherings to office lunches, food brings people together. Yet digital platforms hadn't caught up with this social reality.

While players like Swiggy and Zomato dominated individual ordering, no one had solved the complex challenge of group ordering that preserved individual choice while creating collective joy.

Group Orders Drive Volume

Group orders (4+ people) comprised 23% of total orders, representing significant yet underserved market share.

Group Orders Drive Volume

Group orders (4+ people) comprised 23% of total orders, representing significant yet underserved market share.

Group Orders Drive Volume

Group orders (4+ people) comprised 23% of total orders, representing significant yet underserved market share.

3x Revenue Potential Ignored

Group order values were 2.8x higher than individual orders—massive untapped revenue left on the table.

3x Revenue Potential Ignored

Group order values were 2.8x higher than individual orders—massive untapped revenue left on the table.

3x Revenue Potential Ignored

Group order values were 2.8x higher than individual orders—massive untapped revenue left on the table.

The Untapped Market Opportunity

India's ₹4,200 crore food delivery market had massive growth potential locked behind poor group ordering experiences.

The Untapped Market Opportunity

India's ₹4,200 crore food delivery market had massive growth potential locked behind poor group ordering experiences.

The Untapped Market Opportunity

India's ₹4,200 crore food delivery market had massive growth potential locked behind poor group ordering experiences.

Chaos in Every Order

73% used multiple phones for variety, 40% faced wrong orders, and groups spent 15-30 minutes just deciding where to order.

Chaos in Every Order

73% used multiple phones for variety, 40% faced wrong orders, and groups spent 15-30 minutes just deciding where to order.

Chaos in Every Order

73% used multiple phones for variety, 40% faced wrong orders, and groups spent 15-30 minutes just deciding where to order.

2.0

Market Research

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2.0

Market Research

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2.0

Market Research

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PROBLEM STATEMENT

Design a group ordering experience that gives users both variety and convenience at the same time.

PROBLEM STATEMENT

Design a group ordering experience that gives users both variety and convenience at the same time.

OPPORTUNITY

Turning Chaos Into Connection

Six Design Opportunities That Could Transform Group Ordering

The chaos revealed a path forward: Design for the social nature of group dining, not against it. The market gap was our chance to reimagine how technology brings people together over food.

The core business goal: Bridge the gap between individual choice and collective joy, while building an engagement engine for EatSure.

We identified six critical touchpoints where design could eliminate friction:

Multi-restaurant selection in one order

Browse multiple restaurants, add dishes to one unified order, a true "food court experience."

Multi-restaurant selection in one order

Browse multiple restaurants, add dishes to one unified order, a true "food court experience."

Multi-restaurant selection in one order

Browse multiple restaurants, add dishes to one unified order, a true "food court experience."

Personalized order tagging and tracking

Every item tagged with the orderer's name, eliminating "who ordered what?" confusion.

Personalized order tagging and tracking

Every item tagged with the orderer's name, eliminating "who ordered what?" confusion.

Personalized order tagging and tracking

Every item tagged with the orderer's name, eliminating "who ordered what?" confusion.

Seamless invitation for joining party

Host generates a shareable link guests join and browse without barriers or app downloads.

Seamless invitation for joining party

Host generates a shareable link guests join and browse without barriers or app downloads.

Seamless invitation for joining party

Host generates a shareable link guests join and browse without barriers or app downloads.

Transparent, real-time updates for everyone

Live updates keep everyone synced, avoiding cold food and delivery surprises.

Transparent, real-time updates for everyone

Live updates keep everyone synced, avoiding cold food and delivery surprises.

Transparent, real-time updates for everyone

Live updates keep everyone synced, avoiding cold food and delivery surprises.

Collaborative cart building

Shared cart visible to all members with real-time updates, creating full transparency.

Collaborative cart building

Shared cart visible to all members with real-time updates, creating full transparency.

Collaborative cart building

Shared cart visible to all members with real-time updates, creating full transparency.

Streamlined host-guest payment options

Flexible payment flows host pays or bill-splitting info provided removing awkward payment chases.

Streamlined host-guest payment options

Flexible payment flows host pays or bill-splitting info provided removing awkward payment chases.

Streamlined host-guest payment options

Flexible payment flows host pays or bill-splitting info provided removing awkward payment chases.

THE DESIGN CHALLENGE

How could we enable collaboration without sacrificing speed? And most importantly, how could we make technology invisible so people could focus on enjoying food together?

THE DESIGN CHALLENGE

How could we enable collaboration without sacrificing speed? And most importantly, how could we make technology invisible so people could focus on enjoying food together?

RESEARCH

The Research Journey

A 16-Week Journey to Uncover What Users Really Needed

We refused to design based on assumptions and followed a structured 4-phase research approach. What started as a feature request became a deep dive into how Indians share food and moments together.

Through this approach which spanned 6 weeks, we moved from market analysis to human truth discovery, validating our direction with users at every step.

3.0

Research Timeline

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Research Timeline

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3.0

Research Timeline

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Phase One: The Market Reality Check

Week 1-5

We began by analyzing the competitive landscape to understand what already existed. If someone had already solved this, we needed to know. And if they hadn't, we needed to understand why.

3.1

comp analysis

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3.2

Feature matrix mapping

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3.2

Feature matrix mapping

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3.2

Feature matrix mapping

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Key Findings from Phase 1

Every platform treated group orders like individual orders happening to the same address. They solved for logistics but completely missed the social dimension.

Single restaurant limitation forced compromise

Single restaurant limitation forced compromise

Single restaurant limitation forced compromise

No collaborative cart building

No collaborative cart building

No collaborative cart building

No real-time visibility for group members

No real-time visibility for group members

No real-time visibility for group members

Manual payment coordination

Manual payment coordination

Manual payment coordination

Zero consideration for group dynamics

Zero consideration for group dynamics

Zero consideration for group dynamics

Critical Discovery

No one had cracked the social dining code in India

Critical Discovery

No one had cracked the social dining code in India

Critical Discovery

No one had cracked the social dining code in India

Phase Two: Human Truth Discovery

Week 6-10

The competitive analysis told us what was missing. Now we needed to understand why it mattered and more importantly, what users truly needed beyond just fixing logistics.

What we did

24 in-depth interviews across 4 cities

Conducted contextual interviews in Delhi, Mumbai, Bangalore, and Ahmedabad to capture diverse dining cultures and behaviors.

24 in-depth interviews across 4 cities

Conducted contextual interviews in Delhi, Mumbai, Bangalore, and Ahmedabad to capture diverse dining cultures and behaviors.

24 in-depth interviews across 4 cities

Conducted contextual interviews in Delhi, Mumbai, Bangalore, and Ahmedabad to capture diverse dining cultures and behaviors.

Observational studies of real group ordering moments

Watched users coordinate group orders in real-time, documenting every point of friction, frustration, and workaround.

Observational studies of real group ordering moments

Watched users coordinate group orders in real-time, documenting every point of friction, frustration, and workaround.

Observational studies of real group ordering moments

Watched users coordinate group orders in real-time, documenting every point of friction, frustration, and workaround.

Journey mapping emotional highs and lows

Mapped not just actions, but feelings—tracking where excitement turned to frustration and joy became stress.

Journey mapping emotional highs and lows

Mapped not just actions, but feelings—tracking where excitement turned to frustration and joy became stress.

Journey mapping emotional highs and lows

Mapped not just actions, but feelings—tracking where excitement turned to frustration and joy became stress.

3.3

User Research Data Set

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3.3

User Research Data Set

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3.3

User Research Data Set

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3.4

User Research Insights

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3.4

User Research Insights

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3.4

User Research Insights

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3.5

User Journey & Emotion Mapping

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Key Emotional Insights from Phase 2

What we thought was a logistics problem was actually an emotional one. Users didn't just want faster ordering. They wanted to feel included, express care for others, and create shared moments worth celebrating

The Belonging Crisis

"By the time we agree, I've lost interest. It's not about food anymore—it's about whether I still feel included"

The Belonging Crisis

"By the time we agree, I've lost interest. It's not about food anymore—it's about whether I still feel included"

The Belonging Crisis

"By the time we agree, I've lost interest. It's not about food anymore—it's about whether I still feel included"

When Care Becomes Burden

"Ordering food for my team makes me feel like a good manager. When it goes wrong, I feel like I've let them down"

When Care Becomes Burden

"Ordering food for my team makes me feel like a good manager. When it goes wrong, I feel like I've let them down"

When Care Becomes Burden

"Ordering food for my team makes me feel like a good manager. When it goes wrong, I feel like I've let them down"

Efficiency That Killed Connection

"We used to love deciding together. Apps made it efficient but killed the fun"

Efficiency That Killed Connection

"We used to love deciding together. Apps made it efficient but killed the fun"

Efficiency That Killed Connection

"We used to love deciding together. Apps made it efficient but killed the fun"

The Breakthrough Moment

Group food ordering isn't about food. It's about belonging, care, and shared experiences.

The Breakthrough Moment

Group food ordering isn't about food. It's about belonging, care, and shared experiences.

The Breakthrough Moment

Group food ordering isn't about food. It's about belonging, care, and shared experiences.

Phase Three: Solution Validation

Week 11-16

We had insights. We understood the emotional truth. But before committing to development, we needed to validate: Were we solving the right problem in the right way?

What we did

Concept testing with 3 different approaches

Created low-to-mid fidelity prototypes representing three distinct design philosophies: automation-focused, collaboration-focused, and hybrid models

Concept testing with 3 different approaches

Created low-to-mid fidelity prototypes representing three distinct design philosophies: automation-focused, collaboration-focused, and hybrid models

Concept testing with 3 different approaches

Created low-to-mid fidelity prototypes representing three distinct design philosophies: automation-focused, collaboration-focused, and hybrid models

Testing with 16 participants across diverse scenarios

Recruited hosts, participants, and mixed groups to test concepts in real ordering contexts—office lunches, family dinners, friend gatherings

Testing with 16 participants across diverse scenarios

Recruited hosts, participants, and mixed groups to test concepts in real ordering contexts—office lunches, family dinners, friend gatherings

Testing with 16 participants across diverse scenarios

Recruited hosts, participants, and mixed groups to test concepts in real ordering contexts—office lunches, family dinners, friend gatherings

Comparative evaluation and ranking exercises

Asked users to interact with each concept, rank preferences, and articulate why certain approaches resonated while others fell flat.

Comparative evaluation and ranking exercises

Asked users to interact with each concept, rank preferences, and articulate why certain approaches resonated while others fell flat.

Comparative evaluation and ranking exercises

Asked users to interact with each concept, rank preferences, and articulate why certain approaches resonated while others fell flat.

3.6

Concept Testing Wireframe

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3.6

Concept Testing Wireframe

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3.6

Concept Testing Wireframe

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Outcome from Phase 3

The testing produced a clear mandate: build for collaboration over automation, transparency over convenience, and individual agency within collective experience.

Key Validated Features:

Multi-restaurant unified browsing

Multi-restaurant unified browsing

Multi-restaurant unified browsing

Personal item tagging in shared cart

Personal item tagging in shared cart

Personal item tagging in shared cart

Flexible payment transparency (not automation)

Flexible payment transparency (not automation)

Flexible payment transparency (not automation)

Host-controlled invitation system

Host-controlled invitation system

Host-controlled invitation system

Real-time updates for all participants

Real-time updates for all participants

Real-time updates for all participants

What This Meant

Good group experiences don't eliminate friction—they make friction visible and manageable together.

What This Meant

Good group experiences don't eliminate friction—they make friction visible and manageable together.

What This Meant

Good group experiences don't eliminate friction—they make friction visible and manageable together.

VISUAL DESIGN

From Concept to Composition

Our Design Philosophy: Three Core Pillars

We reframed our challenge: Instead of "How do we make ordering faster?" we asked "How do we make people feel more connected?" The answer emerged in three pillars.

Social-First Design

Every interaction should strengthen the group dynamic

Social-First Design

Every interaction should strengthen the group dynamic

Social-First Design

Every interaction should strengthen the group dynamic

Transparent Collaboration

All participants should feel informed and included

Transparent Collaboration

All participants should feel informed and included

Transparent Collaboration

All participants should feel informed and included

Effortless Coordination

Complex logistics should be invisible to users

Effortless Coordination

Complex logistics should be invisible to users

Effortless Coordination

Complex logistics should be invisible to users

Core userflows defined

Host Flow

Host Flow

Host Flow

Guest Flow

Guest Flow

Guest Flow

Shared Flow

Shared Flow

Shared Flow

4.1

All 3 User Flows

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Host Flow

The Caring Coordinator

The host creates a group order, invites participants via shareable link, manages the unified cart with real-time visibility, and handles payment, all while feeling empowered rather than burdened.

Create group order
Create group order
Create group order
Share invite
Share invite
Share invite
Manage group cart
Manage group cart
Manage group cart
Finalize payment
Finalize payment
Finalize payment

SENTIMENTS

I want to make everyone happy without the stress of coordination

SENTIMENTS

I want to make everyone happy without the stress of coordination

4.2

Host Flow UI Screens

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4.2

Host Flow UI Screens

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4.2

Host Flow UI Screens

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4.3

Host Flow UI Screens

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4.3

Host Flow UI Screens

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4.3

Host Flow UI Screens

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Guest Flow

The Empowered Participant

From joining seamlessly to browsing freely, adding items confidently, and tracking transparently, this flow ensures guests never feel like an afterthought.

Join via invite
Join via invite
Join via invite
Browse restaurants
Browse restaurants
Browse restaurants
Add items
Add items
Add items
Track order
Track order
Track order

SENTIMENTS

I want to contribute my preferences without complicating things for others

SENTIMENTS

I want to contribute my preferences without complicating things for others

4.4

Guest Flow UI Screens

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4.4

Guest Flow UI Screens

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4.4

Guest Flow UI Screens

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4.5

Guest Flow UI Screens

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4.5

Guest Flow UI Screens

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4.5

Guest Flow UI Screens

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Tracking Flow

Live Group Order Tracking

Real-time visibility from kitchen to doorstep with map tracking, status updates, and delivery countdowns, keeping everyone in the loop and building anticipation together.

Group order placed
Group order placed
Group order placed
Order tracking
Order tracking
Order tracking
Order status
Order status
Order status

SENTIMENTS

We all want to feel connected and informed throughout the process

SENTIMENTS

We all want to feel connected and informed throughout the process

4.6

Tracking Flow UI Screens

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4.6

Tracking Flow UI Screens

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4.6

Tracking Flow UI Screens

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4.7

Tracking Flow UI Screens

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4.7

Tracking Flow UI Screens

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4.7

Tracking Flow UI Screens

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USER TESTING

Validating assumptions with real users, real groups, and real emotions

What We Needed to Learn

We had designed for transparency, collaboration, and connection. But principles on paper don't guarantee real-world success. Before scaling across cities, we needed to validate four critical assumptions about our solution.

Validate multi-restaurant browsing intuitiveness

Validate multi-restaurant browsing intuitiveness

Validate multi-restaurant browsing intuitiveness

Test real-time cart visibility and shared awareness

Test real-time cart visibility and shared awareness

Test real-time cart visibility and shared awareness

Measure task completion rates and usability

Measure task completion rates and usability

Measure task completion rates and usability

Assess whether users felt empowered

Assess whether users felt empowered

Assess whether users felt empowered

Who We Tested With

We recruited participants who mirrored the real-world scenarios from our research, people who actually coordinate group meals, not just testers clicking through screens.

12 Participants, 6 Real Group Scenarios

We conducted 6 group ordering sessions with 12 total participants, replicating authentic social dining contexts.

12 Participants, 6 Real Group Scenarios

We conducted 6 group ordering sessions with 12 total participants, replicating authentic social dining contexts.

12 Participants, 6 Real Group Scenarios

We conducted 6 group ordering sessions with 12 total participants, replicating authentic social dining contexts.

Real Use Cases, Real Contexts

Users came from 3 key contexts: office teams ordering lunch, families planning dinner, and friends partying.

Real Use Cases, Real Contexts

Users came from 3 key contexts: office teams ordering lunch, families planning dinner, and friends partying.

Real Use Cases, Real Contexts

Users came from 3 key contexts: office teams ordering lunch, families planning dinner, and friends partying.

6 hosts and 6 guests testing both flows

We tested equal numbers of organizers (hosts) and participants (guests) to validate both user journeys.

6 hosts and 6 guests testing both flows

We tested equal numbers of organizers (hosts) and participants (guests) to validate both user journeys.

6 hosts and 6 guests testing both flows

We tested equal numbers of organizers (hosts) and participants (guests) to validate both user journeys.

Diverse Demographics and Tech Comfort

Participants aged 22–45, with varied tech proficiency, from Delhi, Mumbai, Bangalore, and Ahmedabad.

Diverse Demographics and Tech Comfort

Participants aged 22–45, with varied tech proficiency, from Delhi, Mumbai, Bangalore, and Ahmedabad.

Diverse Demographics and Tech Comfort

Participants aged 22–45, with varied tech proficiency, from Delhi, Mumbai, Bangalore, and Ahmedabad.

5.1

User Demographics

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5.1

User Demographics

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5.1

User Demographics

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How We Ran the Tests

Our approach balanced authenticity with rigor: remote moderated sessions testing realistic scenarios, think-aloud protocols capturing user reasoning, and mixed-fidelity prototypes ensuring accurate feedback on core flows and edge cases.

Moderated remote sessions

45-minute sessions via video call

Moderated remote sessions

45-minute sessions via video call

Moderated remote sessions

45-minute sessions via video call

Realistic scenarios

Performing actual tasks (not scripted feature tours)

Realistic scenarios

Performing actual tasks (not scripted feature tours)

Realistic scenarios

Performing actual tasks (not scripted feature tours)

Think-aloud protocol

Users verbalized thoughts while navigating

Think-aloud protocol

Users verbalized thoughts while navigating

Think-aloud protocol

Users verbalized thoughts while navigating

Mixed fidelity

High-fidelity prototype for core flows and edge cases

Mixed fidelity

High-fidelity prototype for core flows and edge cases

Mixed fidelity

High-fidelity prototype for core flows and edge cases

What We Asked Users to Do

Four realistic tasks tested the complete journey. Each scenario validated whether our design actually delivered on the promise of effortless coordination.

Create and share a group order

Validates host flow and invitation mechanism

Create and share a group order

Validates host flow and invitation mechanism

Create and share a group order

Validates host flow and invitation mechanism

Join a group order and add items from multiple restaurants

Tests multi-restaurant browsing and cart transparency

Join a group order and add items from multiple restaurants

Tests multi-restaurant browsing and cart transparency

Join a group order and add items from multiple restaurants

Tests multi-restaurant browsing and cart transparency

Track who ordered what and manage the shared cart

Validates collaborative visibility and real-time updates

Track who ordered what and manage the shared cart

Validates collaborative visibility and real-time updates

Track who ordered what and manage the shared cart

Validates collaborative visibility and real-time updates

Complete payment and track delivery

Tests payment flow and post-order experience

Complete payment and track delivery

Tests payment flow and post-order experience

Complete payment and track delivery

Tests payment flow and post-order experience

5.2

User Research Data Collection

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5.2

User Research Data Collection

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5.2

User Research Data Collection

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How We Measured Success

Success meant more than features that worked. It meant an experience that felt effortless. We set quantitative benchmarks that ensured we'd validate both functional performance and emotional impact, proving our design delivered on its promise.

Task completion rate > 85%

Task completion rate > 85%

Task completion rate > 85%

Time on task < 5 minutes

Time on task < 5 minutes

Time on task < 5 minutes

Error rate < 2

Error rate < 2

Error rate < 2

Satisfaction score: > 4.5/5

Satisfaction score: > 4.5/5

Satisfaction score: > 4.5/5

Qualitative feedback to reflect positive sentiment

Qualitative feedback to reflect positive sentiment

Qualitative feedback to reflect positive sentiment

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5.3

User Research Prototype

interactive

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5.3

User Research Prototype

interactive

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5.3

User Research Prototype

interactive

Findings from User Testing

Success meant more than features that worked. It meant an experience that felt effortless. We set quantitative benchmarks that ensured we'd validate both functional performance and emotional impact, proving our design delivered on its promise.

Visibility and Trust in Savings

Clear, prominent savings breakdowns were needed to build trust and highlight value.

Visibility and Trust in Savings

Clear, prominent savings breakdowns were needed to build trust and highlight value.

Visibility and Trust in Savings

Clear, prominent savings breakdowns were needed to build trust and highlight value.

Group Progress Was Unclear

Real-time status labels reduced confusion and manual coordination for everyone.

Group Progress Was Unclear

Real-time status labels reduced confusion and manual coordination for everyone.

Group Progress Was Unclear

Real-time status labels reduced confusion and manual coordination for everyone.

Social Features Drove Engagement

Persistent menu items and “Select Same” made group actions intuitive.

Social Features Drove Engagement

Persistent menu items and “Select Same” made group actions intuitive.

Social Features Drove Engagement

Persistent menu items and “Select Same” made group actions intuitive.

Language and Context Mattered

Inclusive CTAs and personalized addresses clarified roles and next steps.

Language and Context Mattered

Inclusive CTAs and personalized addresses clarified roles and next steps.

Language and Context Mattered

Inclusive CTAs and personalized addresses clarified roles and next steps.

Before

Homepage group order promo was easily missed as users quickly scrolled past.

Before

Homepage group order promo was easily missed as users quickly scrolled past.

Before

Homepage group order promo was easily missed as users quickly scrolled past.

After

Animated PIP component with explainer and dismiss option grabbed user attention.

After

Animated PIP component with explainer and dismiss option grabbed user attention.

After

Animated PIP component with explainer and dismiss option grabbed user attention.

Before

Group ordering option appeared without context—users didn’t understand or explore it.

Before

Group ordering option appeared without context—users didn’t understand or explore it.

Before

Group ordering option appeared without context—users didn’t understand or explore it.

After

Feature introduced with an illustrated card depicting a group, making the purpose instantly clear.

After

Feature introduced with an illustrated card depicting a group, making the purpose instantly clear.

After

Feature introduced with an illustrated card depicting a group, making the purpose instantly clear.

Before

Savings were shown as plain text, leaving users uncertain how/where savings occurred.

Before

Savings were shown as plain text, leaving users uncertain how/where savings occurred.

Before

Savings were shown as plain text, leaving users uncertain how/where savings occurred.

After

Savings now use an icon for trust and detail exactly where money was saved, boosting user confidence.

After

Savings now use an icon for trust and detail exactly where money was saved, boosting user confidence.

After

Savings now use an icon for trust and detail exactly where money was saved, boosting user confidence.

Before

Group ordering in menu lacked motivation—users saw no clear reason to tap.

Before

Group ordering in menu lacked motivation—users saw no clear reason to tap.

Before

Group ordering in menu lacked motivation—users saw no clear reason to tap.

After

Card layout and “Save BIG Together!” tag provided a clear value proposition and incentive.

After

Card layout and “Save BIG Together!” tag provided a clear value proposition and incentive.

After

Card layout and “Save BIG Together!” tag provided a clear value proposition and incentive.

RESULTS & IMPACT

Measurable Success & Business Impact

Driving Growth

Real user data from the pilot phase shows strong growth, engagement, and market fit for group ordering. Each metric below highlights the business and user impact of this feature.

Rapid User Adoption

Group ordering drove 2,323+ pilot orders, with 40% of users new to EatSure

Rapid User Adoption

Group ordering drove 2,323+ pilot orders, with 40% of users new to EatSure

Rapid User Adoption

Group ordering drove 2,323+ pilot orders, with 40% of users new to EatSure

Boosted Revenue Impact

Group order AOV reached ₹1,330 (3x individual orders), growing share of orders above ₹800

Boosted Revenue Impact

Group order AOV reached ₹1,330 (3x individual orders), growing share of orders above ₹800

Boosted Revenue Impact

Group order AOV reached ₹1,330 (3x individual orders), growing share of orders above ₹800

Deep Engagement & Retention

Session times were 40% longer, 60% of hosts became repeat users and engagement showed high trust

Deep Engagement & Retention

Session times were 40% longer, 60% of hosts became repeat users and engagement showed high trust

Deep Engagement & Retention

Session times were 40% longer, 60% of hosts became repeat users and engagement showed high trust

Strong Social Growth

Each group order gained 3.2 new users on average, spreading virally and organically as invites encouraged new user discovery.

Strong Social Growth

Each group order gained 3.2 new users on average, spreading virally and organically as invites encouraged new user discovery.

Strong Social Growth

Each group order gained 3.2 new users on average, spreading virally and organically as invites encouraged new user discovery.

LEARNINGS

Design Insights & Personal Growth

Lessons That Shaped My Process

Key moments of learning that transformed how I approach research, iteration, and evidence-based design. Here are some takeaways that will carry into future projects.

Empathy Over Efficiency

Learning to value belonging over speed taught me that solving the right problem beats optimizing the wrong one.

Empathy Over Efficiency

Learning to value belonging over speed taught me that solving the right problem beats optimizing the wrong one.

Empathy Over Efficiency

Learning to value belonging over speed taught me that solving the right problem beats optimizing the wrong one.

Research Reveals What Users Can't Articulate

This reinforced that observation and deep listening reveal insights users themselves don't recognize they need.

Research Reveals What Users Can't Articulate

This reinforced that observation and deep listening reveal insights users themselves don't recognize they need.

Research Reveals What Users Can't Articulate

This reinforced that observation and deep listening reveal insights users themselves don't recognize they need.

Iteration Isn't Failure. It's Progress

Each iteration improved the experience, proving that real user feedback drives meaningful design improvements.

Iteration Isn't Failure. It's Progress

Each iteration improved the experience, proving that real user feedback drives meaningful design improvements.

Iteration Isn't Failure. It's Progress

Each iteration improved the experience, proving that real user feedback drives meaningful design improvements.

Social Design Requires Different Thinking

Designing for groups (not individuals) meant accounting for multiple roles, social dynamics, and shared visibility.

Social Design Requires Different Thinking

Designing for groups (not individuals) meant accounting for multiple roles, social dynamics, and shared visibility.

Social Design Requires Different Thinking

Designing for groups (not individuals) meant accounting for multiple roles, social dynamics, and shared visibility.

TAKEAWAYS

When design focuses on real user pain points and builds precise solutions around them, users don’t just order food, they form stronger connections, driving 3× higher order values and organic growth.

TAKEAWAYS

When design focuses on real user pain points and builds precise solutions around them, users don’t just order food, they form stronger connections, driving 3× higher order values and organic growth.

IT ONLY TAKES
2 CALORIES TO SAY HEY!

Drop me an email to

Note

Made with love, hate, and too many revisions because perfection doesn’t arrive gracefully, it’s dragged out through frustration, stubbornness, and late-night bargaining with my laptop.

based in NYC & The Internet
© 2025 Abhishek jain. All rights reserved
Last updated on OCT 26, 2025, 1:45 PM EST

IT ONLY TAKES
2 CALORIES TO SAY HEY!

Drop me an email to

Note

Made with love, hate, and too many revisions because perfection doesn’t arrive gracefully, it’s dragged out through frustration, stubbornness, and late-night bargaining with my laptop.

based in NYC & The Internet
© 2025 Abhishek jain. All rights reserved
Last updated on OCT 26, 2025, 1:45 PM EST

IT ONLY TAKES
2 CALORIES TO SAY HEY!

Drop me an email to

Note

Made with love, hate, and too many revisions because perfection doesn’t arrive gracefully, it’s dragged out through frustration, stubbornness, and late-night bargaining with my laptop.

based in NYC & The Internet
© 2025 Abhishek jain. All rights reserved
Last updated on OCT 26, 2025, 1:45 PM EST