Diploma project
Meal Drop - food delivery app
Diploma project
Meal Drop - food delivery app

Every delivery app has group orders. None of them work.

Every delivery app has group orders. None of them work.

Meal Drop is a food delivery app built around one real insight — ordering together should feel as easy as ordering alone.

Output
app + landing page
Solo
Research, UI, prototype
Stack
Figma, Claude, ChatGPT
Output
app + landing page
Solo
Research, UI, prototype
Stack
Figma, Claude, ChatGPT
Output
app + landing page
Solo
Research, brand, UI, prototype
Stack
Figma, Claude, ChatGPT

The problem

The problem

01

Group ordering is a feature everywhere.
A solved problem nowhere.

Group ordering is a feature everywhere.
A solved problem nowhere.

Group ordering is a feature everywhere.
A solved problem nowhere.

Group ordering exists in most delivery apps but once you're in one, you're blind. You don't know if everyone has added their order, if the cart is ready, or if someone already checked out without you. Everyone is ordering together, but experiencing it alone.

Research

Research

02

Real conversations. AI-assisted synthesis.
Real conversations.
AI-assisted synthesis.

I started by talking to friends about what actually frustrates them when ordering food in a group. Those conversations - not surveys and not assumptions became the foundation. I then used AI to help identify patterns and shape user personas that reflected what I heard. From there, I mapped the competitive landscape to see where existing apps fall short.

"I added my order but had no idea if anyone else did"
Sarah Walker
"I added my order but had no idea if anyone else did"
Sarah Walker
"I added my order but had no idea if anyone else did"
Sarah Walker

Competitors

Competitors

The insight this led to

Every conversation pointed to the same thing that nobody knows what anyone else is doing. The fix wasn't more features. It was one thing done right: live status for every person in the group order.

One hard decision

One hard decision

04

How do you add people to a group order?

The safe answer is search by username, because you assume the person has account in the app. The honest answer is that nobody does that.

The safe choice - Search & add users

The safe choice -
Search & add users

Clean, controlled, standard. But it assumes everyone knows each other's username and has the app. In real life, that's rarely true.

Clean, controlled, standard. But it assumes everyone knows each other's username and has the app. In real life, that's rarely true.

What i chose - Share a link

One tap, one link, anyone joins. No searching, no usernames, no friction. The group order starts in seconds.

One tap, one link, anyone joins. No searching, no usernames, no friction. The group order starts in seconds.

What i designed

What i designed

05

Two products. One brand. A mobile app and a landing page that sells the hardest feature first.

Meal Drop has two deliverables: the mobile app handles the full ordering experience, with the group order flow as the core differentiator. The landing page converts visitors into downloads by leading with group ordering and not generic speed claims that every competitor already makes.

Creating group order & live status of each participant

Creating group order & live status of each participant

Creating group order & live status of each participant

Next steps

Next steps

06

What i'd improve next

Smart notifications

Deadline approaching? The right person gets nudged - automatically.

Smart notifications

Deadline approaching? The right person gets nudged - automatically.

Smart notifications

Deadline approaching? The right person gets nudged - automatically.

Edge case handling

If someone leaves, their items are removed and the group is notified instantly.

Edge case handling

If someone leaves, their items are removed and the group is notified instantly.

Edge case handling

If someone leaves, their items are removed and the group is notified instantly.

Multi-restaurant ordering.

Each participant orders from a different restaurant - same group, same checkout.

Multi-restaurant ordering.

Each participant orders from a different restaurant - same group, same checkout.

Multi-restaurant ordering.

Each participant orders from a different restaurant - same group, same checkout.

Looking for a designer who asks why before jumping to how? Let's talk.

Available For Work

All rights reserved, VP ©2026

Looking for a designer who asks why before jumping to how? Let's talk.

Available For Work

All rights reserved, VP ©2026

Looking for a designer who asks why before jumping to how? Let's talk.

Available For Work

All rights reserved, YUYA ©2024