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Results
1
Research
By the time I took on this project, the Gr8Tables platform had been launched and was being sold to restaurants, but unfortunately, no one was willing to pay for it, despite the COVID-related requirements for restaurants. The designer who worked on the development did not conduct any research or study the nuances of server work, and as a result, the app was inconvenient for them and sometimes even slowed down their work, rather than speeding it up.
My task was to conduct research and redesign the app in the shortest time possible so that we could capitalize on this opportunity and be the first to capture the market.
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The first thing I did was conduct surveys and interviews with our waitstaff. Fortunately, at that time, I was working as a cook in a restaurant on weekends, so I was able to quickly survey a large number of staff.
Surveys
40 people
Interviews
12 people
The waiters keep track of the table information in chronological order and try to approach each table at least once every 10 minutes.
Most problematic screens
Global Notifications feed
100%
Guests screen
95%
Table screens
77.5%
Navigation
72.2%
Audit results
1.
Informational Architechture can be simplified
2.
Too many fucntions are hidden behind extra elements or clicks
3.
Icons and buttons are mostly too small to comfortably click on in times where servers got full seating and lots of actions got to be performed fast
2
Concept generation
Bellow are some parts of the audit:
Research has shown that waiters are dissatisfied with the current Information Architecture. The guest list, as well as the separate screen for the news feed, were inconvenient and took up too much time. I optimized the IA to more clearly reflect the categories that are important to the waiters:
Tables (table status)
Kitchen (order status)
Bar (drink status)
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Prototype and iteration
4
Design decisions
The Future Of Dining
The redesign of Gr8Tables was successful! Restaurants have started actively adopting our platform for use at their locations. Usability tests with waiters showed positive results, better than the previous version: the number of waiter errors decreased, average tips increased, the rating went up, and the average order delivery time decreased.
