Pro Driver is part of a wider suite of apps used by Proto Energy to deliver Liquid Petroleum Gas (LPG) to retailers and end users.
The 1,000+ Proto Energy drivers mainly use the application to:
This was a redesign of an already existing application.
The goals of the project were:
The business was moving from a sales model where the driver collects the orders and fulfils them to a model where the orders are collected by the business directly through a call center and orders are routed to the drivers for delivery. This project aimed at changing the driver from a sales person to a delivery person thus giving the business more control over the customer acquisition and sales processes.
This web dashboard is used by:
Bio
Age: 31
Gender: Male
Tech savviness: Low
About James
James is a Delivery Sales Driver (DSA) at Proto Energy. His job entails:
User Pain Points
Insights from user research
Color coded orders in news feed style to make it easier to track which customers are near the driver
Orders progress bar to show how many orders are complete and how many are still pending
💡 The first iteration did not contain the map view. It came based on feedback gathered from business and the engineering team.
The end result was a design that is familiar to the user but with a better user experience that that was lot easier to use.
The order details page contains an easy way of contacting the customer without having to navigate away from the app.
It also has the ability to navigate to the customer location straight from the customer page on the app.
In addition to this, it has a clear list of items they will deliver to the customer with pictures to reduce the possibility of errors in during delivery.
These screens were there on the first iterations but were removed based on business and user feedback that the process was too prescriptive.
Payment screens that have guiding graphics and are segmented into multiple pages to reduce the users’ cognitive load. The designs intend that the payment process is clear, easy and reduces the chances for mistakes.
The end result was a design that is familiar to the user but with an better user experience that is less error-prone.