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METHODS

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TOOLS

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TEAM

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MY ROLE

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Screener Surveys
User Flow

Competitive Analysis

Feature Prioritization
Wireframing
Rapid Prototyping

Figma

Slack

Zoom

Sally H.

Serena P.

Monique H.

Jamil F.

Tana K.

Vikram S.

Kaleb M.

UX Researcher
UX Designer


 

48Hr COVID-19 Hackathon Project: 

 

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"KNOW BEFORE YOU GO"

THE PROBLEM

Shoppers want to reduce the risk for catching COVID-19 by avoiding being outside as much as possible. They also want to be able to get all the items they need in a timely manner. 

THE SOLUTION

ShopAid, a mobile application to help you get essentials efficiently based on travel time, and collective intelligence of stock availability and crowd level, and to contribute to a sustainable local economy ecosystem.

PROJECT OUTCOME

During the pandemic, on average household spends at least 3 times more on getting grocery. 

To tackle panic buying, ShopAid is here to introduce certainty and positive psychology.

ShopAid helps people save time, and is extremely useful in the context of social distancing. 

 

We encourage people to shop responsibly and shop locally, and for the long term, we want to continue supporting the local economy.

Research Insights

We received 40 responses, seeking to understand people's shopping habits,

their necessities, and what items were always out of stock in the supermarket.

Here are some painpoints we highlighted.

AFFECTS MOOD

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MULTIPLE TRIPS = RISK

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PEAK TIMES & STOCK

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Users Rank Importance Levels (ranked highest to lowest)

  1. How busy store is (most important)

  2. All items on shopping list

  3. Overall store stock

  4. Distance to the store

  5. Specific item

  6. Specific brand (least important)

MUSTs

Highest priority features:

  • Showing Business hrs & Peak times for supermarkets to avoid crowds

  • Showing stock for items on users shopping list to avoid making frequent trips

Solutions:

Future Solutions:

-Showing peak times 

-Showing items missing when they first select a market (know before they go)

-Updates for everyone using app when user in store presses “done” on their shopping list

-GPS recommends closest store

-Know the stock (eg: milk) before you go by first selecting a market, adding items featured in their market, and the item will show stock levels before you add.

-Added in preferences, allowing user to add must have/go-to items

HIGH LEVEL USER FLOW

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HI-FI WIREFRAMEs

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Presentation

Because this was a virtual #hackfromhome hackathon, with  822 attendees from 62 countries, we had to record and submit our project pitch.

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NEXT STEPS

  • Test prototypes

  • Iterate designs

  • Discuss additional features to enhance app with team

  • Expand to different cities and countries

1

Stock Availability- Thinking about the future and AR technology! Open source API code to look at a photo that can report stock %! (AR: Point and go)

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2

Favorite stores- Users will be able to set their supermarket preferences (accustomed to quality and placement of items in store)

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3

Household- Number of people will support the idea of buying enough

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4

Budget- understanding users may be unemployed during this time, budget for groceries may be important

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5

Recipe- Encouraging smarter buys

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Check out my full
Case Study on       edium!
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© Sally Huang

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