How India Swiggy'd 2025

How India Swiggy'd 2025

How India Swiggy'd 2025

How India Swiggy'd 2025

2025

Category

Category

Category

PMM | Growth Micro-Product | FOOD, INSTAMART, DINEOUT | Engagement

PMM | Growth Micro-Product | FOOD, INSTAMART, DINEOUT | Engagement

PMM | Growth Micro-Product | FOOD, INSTAMART, DINEOUT | Engagement

Focus

Focus

Focus

User Flow · Interaction Design · Edge Case · Visual Design · Information Architecture · Theming & Branding

User Flow · Interaction Design · Edge Case · Visual Design · Information Architecture · Theming & Branding

User Flow · Interaction Design · Edge Case · Visual Design · Information Architecture · Theming & Branding

Team

Team

Team

Product · Design · Engineering · Analytics · Copy · Stakeholders · CEO · Business

Product · Design · Engineering · Analytics · Copy · Stakeholders · CEO · Business

Product · Design · Engineering · Analytics · Copy · Stakeholders · CEO · Business

What Did I Do?

What Did I Do?

What Did I Do?

PMM micro-product strategy

PMM micro-product strategy

Experience and flow architecture

Experience and flow architecture

User segmentation and level logic

User segmentation and level logic

Logo, UI elements, and assets

Logo, UI elements, and assets

Edge-case and fallback handling

Edge-case and fallback handling

Design quality control and execution

Design quality control and execution

End-to-end user flow design

End-to-end user flow design

Interaction and feedback systems

Interaction and feedback systems

Theming, branding, and visual language

Theming, branding, and visual language

Prologue

Prologue

Prologue

Turning Year-in-Review Into a Playable Product

Turning Year-in-Review Into a Playable Product

Turning Year-in-Review Into a Playable Product

“How India Swiggy’d 2025” was designed as a platform-wide PMM experience that allowed users to review their activity across all Swiggy verticals through a structured, quiz-based format. Instead of presenting static summaries, the experience transformed user data into interactive moments designed to be explored, completed, and shared.

“How India Swiggy’d 2025” was designed as a platform-wide PMM experience that allowed users to review their activity across all Swiggy verticals through a structured, quiz-based format. Instead of presenting static summaries, the experience transformed user data into interactive moments designed to be explored, completed, and shared.

“How India Swiggy’d 2025” was designed as a platform-wide PMM experience that allowed users to review their activity across all Swiggy verticals through a structured, quiz-based format. Instead of presenting static summaries, the experience transformed user data into interactive moments designed to be explored, completed, and shared.

Key Constraint

Key Constraint

The system needed to adapt in real time to user data availability serving meaningful experiences to active, POI-based, and new users while remaining lightweight, optional, and non-blocking within the core app.

The system needed to adapt in real time to user data availability serving meaningful experiences to active, POI-based, and new users while remaining lightweight, optional, and non-blocking within the core app.

The system needed to adapt in real time to user data availability serving meaningful experiences to active, POI-based, and new users while remaining lightweight, optional, and non-blocking within the core app.

References & Ideation

References & Ideation

References & Ideation

The experience drew inspiration from:

  • Bollywood storytelling and pop culture

  • Meme-based feedback and reaction formats

  • Gamified quizzes with clear progression

  • Year-in-review products adapted for Indian audiences

The goal was to make data reflection feel playful and culturally familiar rather than analytical or static.

The experience drew inspiration from:

  • Bollywood storytelling and pop culture

  • Meme-based feedback and reaction formats

  • Gamified quizzes with clear progression

  • Year-in-review products adapted for Indian audiences

The goal was to make data reflection feel playful and culturally familiar rather than analytical or static.

The experience drew inspiration from:

  • Bollywood storytelling and pop culture

  • Meme-based feedback and reaction formats

  • Gamified quizzes with clear progression

  • Year-in-review products adapted for Indian audiences

The goal was to make data reflection feel playful and culturally familiar rather than analytical or static.

Information Architecture & User Flow

Information Architecture & User Flow

Information Architecture & User Flow

The PMM was designed as a self-contained, multi-level micro-product with dynamic logic based on user data availability.

User Segmentation Logic

Active Users (with data)
  • Level 1: Personal Quiz

  • Level 2: City or POI Quiz

  • Level 3: India Quiz

POI Users
  • Level 1: Personal Quiz

  • Level 2: POI Quiz

  • Level 3: City Quiz

New / Non-active Users
  • Level 1: City Quiz

  • Level 2: India Quiz

The PMM was designed as a self-contained, multi-level micro-product with dynamic logic based on user data availability.

User Segmentation Logic

Active Users (with data)
  • Level 1: Personal Quiz

  • Level 2: City or POI Quiz

  • Level 3: India Quiz

POI Users
  • Level 1: Personal Quiz

  • Level 2: POI Quiz

  • Level 3: City Quiz

New / Non-active Users
  • Level 1: City Quiz

  • Level 2: India Quiz

The PMM was designed as a self-contained, multi-level micro-product with dynamic logic based on user data availability.

User Segmentation Logic

Active Users (with data)
  • Level 1: Personal Quiz

  • Level 2: City or POI Quiz

  • Level 3: India Quiz

POI Users
  • Level 1: Personal Quiz

  • Level 2: POI Quiz

  • Level 3: City Quiz

New / Non-active Users
  • Level 1: City Quiz

  • Level 2: India Quiz

Flow Logic

Flow Logic

  • Data-aware progression

  • Progressive disclosure by level

  • Single primary action per screen

  • Clear exits and completion states

  • No dead ends or blocked paths

  • Data-aware progression

  • Progressive disclosure by level

  • Single primary action per screen

  • Clear exits and completion states

  • No dead ends or blocked paths

  • Data-aware progression

  • Progressive disclosure by level

  • Single primary action per screen

  • Clear exits and completion states

  • No dead ends or blocked paths

Interaction Design & Journey Decisions

Interaction Design & Journey Decisions

Interaction Design & Journey Decisions

Each level consisted of 5 dynamically curated questions, personalized using available user data.

Scoring & Progression System

  1. Users earned 1 point for every correct answer

  2. Each level carried a visible score count

  3. Level completion unlocked a trophy state

    • Bronze, Silver, Gold for active users

    • Silver and Gold for new users

Scores and trophies were designed as shareable artifacts, supporting organic reach and recall.

Feedback & Trivia

After each response:

  • Users received instant correctness feedback

  • Feedback was reinforced using Bollywood meme based visuals and subtle Lottie animations

  • A trivia screen surfaced platform-level insights connected to the question

Journey Priority
Maintain momentum, clarity, and curiosity across multiple levels without increasing cognitive load.

Each level consisted of 5 dynamically curated questions, personalized using available user data.

Scoring & Progression System

  1. Users earned 1 point for every correct answer

  2. Each level carried a visible score count

  3. Level completion unlocked a trophy state

    • Bronze, Silver, Gold for active users

    • Silver and Gold for new users

Scores and trophies were designed as shareable artifacts, supporting organic reach and recall.

Feedback & Trivia

After each response:

  • Users received instant correctness feedback

  • Feedback was reinforced using Bollywood meme based visuals and subtle Lottie animations

  • A trivia screen surfaced platform-level insights connected to the question

Journey Priority
Maintain momentum, clarity, and curiosity across multiple levels without increasing cognitive load.

Each level consisted of 5 dynamically curated questions, personalized using available user data.

Scoring & Progression System

  1. Users earned 1 point for every correct answer

  2. Each level carried a visible score count

  3. Level completion unlocked a trophy state

    • Bronze, Silver, Gold for active users

    • Silver and Gold for new users

Scores and trophies were designed as shareable artifacts, supporting organic reach and recall.

Feedback & Trivia

After each response:

  • Users received instant correctness feedback

  • Feedback was reinforced using Bollywood meme based visuals and subtle Lottie animations

  • A trivia screen surfaced platform-level insights connected to the question

Journey Priority
Maintain momentum, clarity, and curiosity across multiple levels without increasing cognitive load.

Results & Key Learnings

Results & Key Learnings

Results & Key Learnings

Results

Results

Metrics

Point Of Interests

Overall

Users engaged

49.4K

880K

Total quizzes played

156K

2.64 Mn

Repeat rate per user

3.15

3.01

% users completed a quiz

95%

92%

% users who completed all 3 levels

78%

61%

Share % (unique users)

18.4%

20.2%

Metrics

Point Of Interests

Overall

Users engaged

49.4K

880K

Total quizzes played

156K

2.64 Mn

Repeat rate per user

3.15

3.01

% users completed a quiz

95%

92%

% users who completed all 3 levels

78%

61%

Share % (unique users)

18.4%

20.2%

Metrics

Point Of Interests

Overall

Users engaged

49.4K

880K

Total quizzes played

156K

2.64 Mn

Repeat rate per user

3.15

3.01

% users completed a quiz

95%

92%

% users who completed all 3 levels

78%

61%

Share % (unique users)

18.4%

20.2%

Key Highlights

Key Highlights

  1. 60%+ users completed all 3 levels, with 92% completion rate.

  2. On an avg., a user played a quiz 3+ times (repeat plays+subsequent levels) 

  3. User engagement (completion, progression, repeat plays) was even higher at the POIs

  4. Social listening reach - ~1.24 Mn, with 370+ mentions 

  1. 60%+ users completed all 3 levels, with 92% completion rate.

  2. On an avg., a user played a quiz 3+ times (repeat plays+subsequent levels) 

  3. User engagement (completion, progression, repeat plays) was even higher at the POIs

  4. Social listening reach - ~1.24 Mn, with 370+ mentions 

  1. 60%+ users completed all 3 levels, with 92% completion rate.

  2. On an avg., a user played a quiz 3+ times (repeat plays+subsequent levels) 

  3. User engagement (completion, progression, repeat plays) was even higher at the POIs

  4. Social listening reach - ~1.24 Mn, with 370+ mentions 

Other Explorations

Other Explorations

Other Explorations

Beyond the core experience, several design explorations focused on visual identity, shareability, and system cohesion.

  • Theming System

  • Logo Design

  • UI Language & Components

  • Trophy & Shareable Artifacts

Beyond the core experience, several design explorations focused on visual identity, shareability, and system cohesion.

  • Theming System

  • Logo Design

  • UI Language & Components

  • Trophy & Shareable Artifacts

Beyond the core experience, several design explorations focused on visual identity, shareability, and system cohesion.

  • Theming System

  • Logo Design

  • UI Language & Components

  • Trophy & Shareable Artifacts

Final Note

Final Note

Final Note

“How India Swiggy’d 2025” positions PMM as a playable product surface, combining personalization, cultural context, and system-driven logic. The experience demonstrates how engagement-led PMM can scale across a platform while remaining inclusive, lightweight, and design-driven.

“How India Swiggy’d 2025” positions PMM as a playable product surface, combining personalization, cultural context, and system-driven logic. The experience demonstrates how engagement-led PMM can scale across a platform while remaining inclusive, lightweight, and design-driven.

“How India Swiggy’d 2025” positions PMM as a playable product surface, combining personalization, cultural context, and system-driven logic. The experience demonstrates how engagement-led PMM can scale across a platform while remaining inclusive, lightweight, and design-driven.

" Design is not just what it looks like and feels like. Design is how it works "

— Steve Jobs

INDEX

" Design is not just what it looks like and feels like. Design is how it works "

— Steve Jobs

INDEX

" Design is not just what it looks like and feels like. Design is how it works "

— Steve Jobs

INDEX