Food Delivery App

Night Rush
KEY CHALLENGE
There is a large number of people who have no time to cook dinner due to their busy lifestyle.
SOLUTION
To design an app that removes the burden of having to think about what to eat for dinner.
ROLE
Lead UI/UX designer, User research, User testing and wireframing
DURATION
May 2021 - August 2021
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The Design Process

This product was designed using the lean UX framework which required us to go through several phases of iterations before deciding on the final product.

User Research

First, I interviewed 50 individuals some with extremely busy schedules while others had more flexible jobs. These people had a lot to say most of which were pain points.

Survey conducted using google forms

Initial surveys were conducted using google forms, after which a second phase of the research was conducted face to face.

Key insights

User Pain points

One of the many user challenges

After taking into consideration the information extracted from the surveys a user flow was curated.

The User flow

A step by step illustration of every user action needed to complete their goal.

This user flow was then used as a reference for design ideas that were put together and made into digital low fidelity wireframes.

Low-fi Wireframes

User Testing

To gain feedback for future iterations we tested the low-fi prototype with a number of target users. User pain points while going through the flows were taken note of and a series of iterations were made based on the insights gotten.

Live testing of the low fidelity designs

Final Design

Since we needed to provide a solution to the users at the quickest possible time we created an MVP ; a design that was easy to use with all the basic features needed to get the user to their goal. Here are some of the final screens

Some High Fidelity Screens

The Results

There was a 25% increase in cashflow for the business after the first month of releasing the mobile app. There has also been a massive influx of positive feedbacks by users who make use of the Ratings and Review feature on the app.

Key Takeaways

  • Don't try to reinvent the wheel, use mental models
  • More people are in need of this specific product than you think
  • Ordering a meal should require as little action as possible

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