Research plan
Analysing if the app improves the ordering process over traditional ordering through a waiter, how real users interact with the design and how well the product meets their needs.
Research questions
- How long does it take to get to the ordering part of the app from the first opening of the app, and how people feel about it
- Is ordering through the app faster than through a waiter, on regular days and busy weekends
- Do people use and care about the estimated time when they receive their order
- Do people want to use an ordering app over traditional ordering?
- Do people prefer to pay by mobile or at the cashier?
KPI
- Time from login to the menu screen
- Time from finishing selection to finishing order
- Quantity of people aborting the process
- Times repeating the same task due to error or misunderstanding
Results
While users in general are happy with the app, there are opportunities for improvements, especially for the login process.
User path insight
The heat map shows that users struggled during the login phase and selecting companion beers, yet did well when presented with only a few options or when the next steps were clearly highlighted.
Affinity diagram
Aggregation and visualization of the insights from the prototype test. The information is split into categories that directly relate to parts of the UI. Through this process, we can visualize which parts of the UI need the most attention. The information can then be further refined into patterns and insights which will present us with a clear way forward to improve the usability.
Summary of the insights
Login process is troublesome
Companion beer feature is confusing and unnecessary
Need for reordering past order
Cancel a mistaken order before delivery
Provide additional login methods and improve the phone number verification process. Phone number verification cannot be removed as it is a necessary requirement.
Functionality that confuses the user and brings no business value should be removed.
Users commonly reorder their same beer at a beer garden, such a functionality brings business value and user satisfaction.
Mistakes happen, and when possible there should be an opportunity for the user to either revert that mistake or lessen it.