Swiggy Watch Application – UX Case Study
Designing a faster, hands-free food ordering experience for smartwatches.
Swiggy Watch Application – UX Case Study
Designing a faster, hands-free food ordering experience for smartwatches.
Swiggy Watch Application – UX Case Study
Designing a faster, hands-free food ordering experience for smartwatches.



Problem Statement
Users want to reorder meals fast, especially for routine lunches or dinners, but do not want to open the full mobile app each time. Existing food delivery experiences aren’t optimized for wearables.
How might we design a smartwatch-first Swiggy experience focused on speed, glanceability, and predictive ordering?
Problem Statement
Users want to reorder meals fast, especially for routine lunches or dinners, but do not want to open the full mobile app each time. Existing food delivery experiences aren’t optimized for wearables.
How might we design a smartwatch-first Swiggy experience focused on speed, glanceability, and predictive ordering?
Problem Statement
Users want to reorder meals fast, especially for routine lunches or dinners, but do not want to open the full mobile app each time. Existing food delivery experiences aren’t optimized for wearables.
How might we design a smartwatch-first Swiggy experience focused on speed, glanceability, and predictive ordering?
Research
Objectives: Understand food ordering patterns, identify core watch actions.
Methods
35 surveys, 6 user interviews, competitive analysis with Zomato, Uber Eats, Starbucks.
Insights
75% reorder same items, minimal UI needed, clear ETA required.
Research
Objectives: Understand food ordering patterns, identify core watch actions.
Methods
35 surveys, 6 user interviews, competitive analysis with Zomato, Uber Eats, Starbucks.
Insights
75% reorder same items, minimal UI needed, clear ETA required.
Research
Objectives: Understand food ordering patterns, identify core watch actions.
Methods
35 surveys, 6 user interviews, competitive analysis with Zomato, Uber Eats, Starbucks.
Insights
75% reorder same items, minimal UI needed, clear ETA required.
Persona: Neha, 26 – Office worker. Reorders lunch daily from same cafe.
Persona: Rohit, 30 – Gym enthusiast. Schedules post-workout protein bowl.
Goals: Fast reordering, minimal interaction.
Frustrations: Long menus, too many steps.
Super fast.
Super fast.
Goals: Fast reordering, minimal interaction.
Frustrations: Long menus, too many steps.
Super fast.
Super fast.
Goals: Fast reordering, minimal interaction.
Frustrations: Long menus, too many steps.
Hunger strikes
Quick ‘Reorder’ tile
Browsing
Smart suggestions
Ordering
Haptic + confirm
Tracking
Progress & ETA
Delivery
Watch notification
Hunger strikes
Quick ‘Reorder’ tile
Browsing
Smart suggestions
Ordering
Haptic + confirm
Tracking
Progress & ETA
Delivery
Watch notification
Hunger strikes
Quick ‘Reorder’ tile
Browsing
Smart suggestions
Ordering
Haptic + confirm
Tracking
Progress & ETA
Delivery
Watch notification
Wireframes
Low-fidelity: Menu shortcuts, reorder tile, tracker view. Shows user flow structuring.
Mid-fidelity UI
Applied Apple Watch frame, improved layouts, tested usability of large tap areas.
Final UI
Bright Swiggy orange, rounded cards, reorder tile, favorites carousel, clear delivery progress.
Wireframes
Low-fidelity: Menu shortcuts, reorder tile, tracker view. Shows user flow structuring.
Mid-fidelity UI
Applied Apple Watch frame, improved layouts, tested usability of large tap areas.
Final UI
Bright Swiggy orange, rounded cards, reorder tile, favorites carousel, clear delivery progress.
Wireframes
Low-fidelity: Menu shortcuts, reorder tile, tracker view. Shows user flow structuring.
Mid-fidelity UI
Applied Apple Watch frame, improved layouts, tested usability of large tap areas.
Final UI
Bright Swiggy orange, rounded cards, reorder tile, favorites carousel, clear delivery progress.
Usability Testing Findings
6 frequent Swiggy users completed tasks including reordering, tracking delivery, browsing cafe favorites. Users preferred the minimal interface and one-tap reorder.
Key results: Reorder steps dropped by 70%, time-to-reorder averaged 9 seconds, user satisfaction scored 4.7/5.
Quick ETA display improved user confidence and made the process more glanceable and intuitive.
Usability Testing Findings
6 frequent Swiggy users completed tasks including reordering, tracking delivery, browsing cafe favorites. Users preferred the minimal interface and one-tap reorder.
Key results: Reorder steps dropped by 70%, time-to-reorder averaged 9 seconds, user satisfaction scored 4.7/5.
Quick ETA display improved user confidence and made the process more glanceable and intuitive.
Usability Testing Findings
6 frequent Swiggy users completed tasks including reordering, tracking delivery, browsing cafe favorites. Users preferred the minimal interface and one-tap reorder.
Key results: Reorder steps dropped by 70%, time-to-reorder averaged 9 seconds, user satisfaction scored 4.7/5.
Quick ETA display improved user confidence and made the process more glanceable and intuitive.
Ordering in seconds, not minutes.
Swiggy Watch brings the joy of food ordering to your wrist — fast, predictive, effortless.
View Prototype
Ordering in seconds, not minutes.
Swiggy Watch brings the joy of food ordering to your wrist — fast, predictive, effortless.
View Prototype
Ordering in seconds, not minutes.
Swiggy Watch brings the joy of food ordering to your wrist — fast, predictive, effortless.
View Prototype
Learnings
Smartwatch design is all about clarity and context. Predictive features delight users and save time.
Apps for wearables must remove friction, not just replicate mobile flows. Simplicity always wins.
Learnings
Smartwatch design is all about clarity and context. Predictive features delight users and save time.
Apps for wearables must remove friction, not just replicate mobile flows. Simplicity always wins.
Learnings
Smartwatch design is all about clarity and context. Predictive features delight users and save time.
Apps for wearables must remove friction, not just replicate mobile flows. Simplicity always wins.
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