Cheers

A bartender that fits,

inside your pocket.

Overview

As part of my degree, I was asked to make an app that solves problems in real space and It is without human interaction at all. I chose to focus on nightlife, a topic with lots of human interaction and some unresolved issues.

The main goal is to make the process of buying drinks at nightclubs less frustrating and to make it shorter so that the user will never give up on ordering a drink.

Research

I created a user questionnaire that was answered by over 50 partygoers to understand how serious the problems are.

72%

Gave up ordering a drink due to difficulty getting the bartender's attention.

52%

They answered that the bartender's service to takeaway customers is bad.

65%

testified that they were charged a tip without their knowledge.

46%

Testified that the ordering process takes more than 10 minutes.

As a bartender in the past and a partygoer today I realize that there is a problem with the process of ordering drinks at big clubs.

89%

Paid without knowing the amount in advance.

36%

Gave up order due to poor service from the bartender.

Conclusion

Bad service for takeaway customers (long waiting time, etc.)

Lack of transparency with the customer and service billing without his knowledge.

Difficulty attracting the attention of the bartender and to communicating with the bartender.

User personas

Itay Amir

Student

Tel- Aviv, 26

"There is nothing like the nightlife in Tel Aviv, except that it is almost impossible to buy a drink"

Pain Points:

Difficulty communicating with the bartender

Difficulty attracting the attention of the bartender

Bad service from the bartender.

Dolev Katz

Social manager

Herzliya, 31

"Finding out that you were charged for an amount you didn't expect, it's a bad service."

Pain Points:

The lack of integrity of some bartenders.

Overall poor service from the bartenders

She doesn't know what the price of the drink is before she pays.

User flow

Considering that users going to use the app under the influence of alcohol, a simple and intuitive flow is the obvious choice, straight to the point.

Onboarding

Home screen

Check out

Profile

Location

Last orders

Special offers (promotion)

Navigation menu

This section is based on the club's demand. That is the platform for the club to reach its customer.

Based on the user's last orders on the app, this section shows the relevant product that the club sells.

Location indicator based on GPS. In terms to make the user feel sure that he is in the right place.

Discover places

A drop down menu that shows all the places around the user.

hover the image

User flow case

Anyone who has been to a club more than once knows how frustrating it can be to buy drinks for yourself and your friends.

As a takeaway customer who does not sit at the bar, buying a drink is not an easy task. Starting with attracting the bartender's attention, then communicating with the bartender in a noisy club, in addition to that, at the end you may find out that service was charged without your knowledge.

Cheers make that process less frustrating and prevent the user from giving up on ordering drinks.