DashFind
DashFind is a concept feature that helps delivery shoppers find items faster, scan with confidence, and reduce replacement errors during grocery fulfillment.
Client
Concept Project
Role
UX/UI Designer
Industry
Delivery and Shopping
Service
UX/UI Design
Duration
4 weeks
OVERVIEW
DashFind explores how in store tools can support gig workers who shop under time pressure. I designed a mobile experience that combines store mapping, AR style guidance, and item scanning into one clear flow. The goal was to reduce wandering, simplify decisions, and make each step feel predictable. This project let me bring together interface clarity, motion hints, and subtle visual hierarchy to support focused, real world shopping tasks.
OVERVIEW
DashFind explores how in store tools can support gig workers who shop under time pressure. I designed a mobile experience that combines store mapping, AR style guidance, and item scanning into one clear flow. The goal was to reduce wandering, simplify decisions, and make each step feel predictable. This project let me bring together interface clarity, motion hints, and subtle visual hierarchy to support focused, real world shopping tasks.
OVERVIEW
DashFind explores how in store tools can support gig workers who shop under time pressure. I designed a mobile experience that combines store mapping, AR style guidance, and item scanning into one clear flow. The goal was to reduce wandering, simplify decisions, and make each step feel predictable. This project let me bring together interface clarity, motion hints, and subtle visual hierarchy to support focused, real world shopping tasks.
THE CHALLENGE
Delivery shoppers often face confusing aisle layouts, crowded environments, and inconsistent product placement. Existing apps focus on the order list, not the in store experience, which leads to hesitation and frequent replacements. I needed to understand what information shoppers actually rely on while walking the store and how to present it without adding noise. The challenge was to design guidance that feels supportive rather than distracting, especially when users are already multitasking.
THE CHALLENGE
Delivery shoppers often face confusing aisle layouts, crowded environments, and inconsistent product placement. Existing apps focus on the order list, not the in store experience, which leads to hesitation and frequent replacements. I needed to understand what information shoppers actually rely on while walking the store and how to present it without adding noise. The challenge was to design guidance that feels supportive rather than distracting, especially when users are already multitasking.
THE CHALLENGE
Delivery shoppers often face confusing aisle layouts, crowded environments, and inconsistent product placement. Existing apps focus on the order list, not the in store experience, which leads to hesitation and frequent replacements. I needed to understand what information shoppers actually rely on while walking the store and how to present it without adding noise. The challenge was to design guidance that feels supportive rather than distracting, especially when users are already multitasking.
THE SOLUTION
I created a flow that starts with a clear store map, then transitions into a focused AR navigation view and a dedicated scan screen. Key items are grouped by zone and priority, while simple labels and color coding show what is left to find. Micro interactions reinforce confirmation at the moment of scanning, so shoppers do not have to double check details. The visual language stays calm and neutral, allowing status and alerts to stand out instantly.
THE SOLUTION
I created a flow that starts with a clear store map, then transitions into a focused AR navigation view and a dedicated scan screen. Key items are grouped by zone and priority, while simple labels and color coding show what is left to find. Micro interactions reinforce confirmation at the moment of scanning, so shoppers do not have to double check details. The visual language stays calm and neutral, allowing status and alerts to stand out instantly.
THE SOLUTION
I created a flow that starts with a clear store map, then transitions into a focused AR navigation view and a dedicated scan screen. Key items are grouped by zone and priority, while simple labels and color coding show what is left to find. Micro interactions reinforce confirmation at the moment of scanning, so shoppers do not have to double check details. The visual language stays calm and neutral, allowing status and alerts to stand out instantly.
THE RESULT
The final prototype demonstrates how a guided, in store companion could shorten search time and reduce uncertainty. The map view gives shoppers a quick mental model of the store, while the AR navigation and scan screens support the moment to moment tasks. Together, they create a smoother path from list to cart and reduce the risk of picking the wrong product. The overall experience feels more intentional, structured, and grounded in real usage.
THE RESULT
The final prototype demonstrates how a guided, in store companion could shorten search time and reduce uncertainty. The map view gives shoppers a quick mental model of the store, while the AR navigation and scan screens support the moment to moment tasks. Together, they create a smoother path from list to cart and reduce the risk of picking the wrong product. The overall experience feels more intentional, structured, and grounded in real usage.
THE RESULT
The final prototype demonstrates how a guided, in store companion could shorten search time and reduce uncertainty. The map view gives shoppers a quick mental model of the store, while the AR navigation and scan screens support the moment to moment tasks. Together, they create a smoother path from list to cart and reduce the risk of picking the wrong product. The overall experience feels more intentional, structured, and grounded in real usage.
TAKEAWAYS
DashFind reinforced the value of designing for movement, not just static screens. I learned how small choices in spacing, labels, and feedback can either overwhelm or calm a busy shopper. The project also showed me how much confidence users gain when the system clearly confirms each step. It strengthened my interest in building tools that quietly support people who work on the go.