BarBack (UX Design)

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BARBACK / app design

Context
To study the "rituals" or routine of an individual over the course of a week, with the purpose of locating pain points. After in-depth ethnographic research and interviewing, conceptualize a solution that would simplify or improve this "ritual."

Proposal
Like many people, Lily likes to go out and drink with her friends. However, she has a very specific and interesting "ritual" which surrounds the process by which she likes gets ready and go out. Starting no less than 5 hours before she needs to leave her apartment, she slowly gets dressed and does her makeup, while sipping on "pre-game" whiskey. Through extended discussions and observance around this ritual, I found that Lily often drinks too much before she leaves the house. Additionally, she can forget to keep track of her drinks and to drink enough water during the night out. BarBack is an app that uses extensive user-generated personal data to take the guesswork out of drinking.

Photos of interview notes 

Photos of interview notes 

In-class brainstorming session using the "How Might We...?" framework

In-class brainstorming session using the "How Might We...?" framework

The "How Might We..." that helped formulate my final idea

The "How Might We..." that helped formulate my final idea

The BarBack welcome screen prompts users to enter their first name, in order to receive an immediately personal experience.

The BarBack welcome screen prompts users to enter their first name, in order to receive an immediately personal experience.

After users enter their name, they are prompted to answer a series of questions about their habits. 

After users enter their name, they are prompted to answer a series of questions about their habits. 

Close-up of second screen, explaining the forthcoming survey.

Close-up of second screen, explaining the forthcoming survey.

A sampling of survey questions. This one-time survey about the user's preferences and habits would serve as the basis for the app's recommendations.

A sampling of survey questions. This one-time survey about the user's preferences and habits would serve as the basis for the app's recommendations.

Some interior screens of the app. Before going out drinking, users indicate to the app how drunk they would like to get. Then, throughout the night, when users order drinks at the bar, they could quickly and easily input that drink into the app while they are waiting to be served. Barback would track the amount of drinks, the progress toward the user-indicated goal. Drawing from an immense dataset of the alcoholic contents of various beverages, Barback would update in real-time to alert the user that they should slow down.

Some interior screens of the app. Before going out drinking, users indicate to the app how drunk they would like to get. Then, throughout the night, when users order drinks at the bar, they could quickly and easily input that drink into the app while they are waiting to be served. Barback would track the amount of drinks, the progress toward the user-indicated goal. Drawing from an immense dataset of the alcoholic contents of various beverages, Barback would update in real-time to alert the user that they should slow down.

Users could rate the drinks they've had, share stats with friends and see at a glance how many drinks they've had and how close they are to reaching their threshold. Additionally, BarBack would alert users every 30 minutes and/or after each drink entry that they should get a glass of water!

Users could rate the drinks they've had, share stats with friends and see at a glance how many drinks they've had and how close they are to reaching their threshold. Additionally, BarBack would alert users every 30 minutes and/or after each drink entry that they should get a glass of water!

Users would have access to BarBack's backend dataset, allowing them to look up a drink if they are unsure of it's ingredients or flavor profile. Users could also mark drinks to try later and easily see the average alcoholic content of a beverage. 

Users would have access to BarBack's backend dataset, allowing them to look up a drink if they are unsure of it's ingredients or flavor profile. Users could also mark drinks to try later and easily see the average alcoholic content of a beverage.