UBER : Predictive Surge pricing & area
Niroj Nayak
Role :
Worked as UX Researcher & Designer for UBER
Problem Statement & Project Goal :
Uber has a surge pricing system wherein they dynamically increase the fares in some locations based on the demand. One reason why this is done is to attract more drivers to reach that location so that Uber can meet the customer demand. They do this by highlighting the "surge fare" areas in the driver's app while they are on duty.
Now, James is a senior data analyst at Uber. He is working on a project wherein he wants to predict possible areas of surge pricing at particular times of the day, and show it to *top performing* drivers 30 mins in advance. For that, he and his team need a software which would show them the required data. This data will help the team take the decision about upcoming possible surge price areas and send notifications to *top performing* drivers. (Yes, assume they have to send notifications to drivers manually/ semi-automatic)
Solution :
Goal 1 :
( Driver app )Uber wants to highlight the "surge fare”and the areas in the driver's app while they are on duty.
Goal 2 :
( Data-analyst app )James wants to predict possible areas of surge pricing at particular times of the day.Show it to *top performing* drivers 30 mins in advanceSend notification of Surge pricing and area to top performing driver.
Requirement :
He and his team need a software which would show them the required data. This data will help the team take the decision about upcoming possible surge price areas and send notifications to *top performing* drivers.
Discovery Phase :
Distilled Phase :
Ideation Phase :
Design Phase
