
As part of understanding the problems that university students face, my team and I decided to focus on the topic of managing shared bills between roommates. Our team set out to understand how people currently manage shared bills and pinpoint major concerns in the process.

To uncover existing bill-splitting practices between student roommates, we used topic-related keywords like ‘roommates’, ‘bills’, ‘splitting expenses’, etc. to find articles and research papers. We found that shared bills proved to significantly impact the lives of students staying in shared spaces. Despite many product offerings currently in the bill sharing space (i.e. Splitwise, Splittr, etc), users still feel feelings of dissatisfaction and distrust with their roommates when splitting shared bills. We then used this research data to create an affinity diagram.

The high-level themes discovered through affinity mapping, such as ‘fairness’, ‘conflict’, and ‘money problems’ showed a trend of mismatched expectations between lenders and lendees when splitting bills.
Our research helped us identify that there's a mismatch in expectations between people who share bills. This helped create project-level research questions.
We then chose to narrow the scope of the user group to help gather denser data points. We identified our target users by using the following criteria -
The ‘off-campus’ parameter was chosen as students who live on-campus (i.e. residence dorm) receive most shared expenses from the university (i.e. Wi-Fi, toilet paper, etc), which could be classified as an individual expense.
The goal of the semi-structured interviews was to understand participants’ attitudinal beliefs around splitting bills. We created a set of 5 core questions and asked follow-up questions wherever necessary.

“A lot of it is based on trust because the person is taking the responsibility for it...”
“...our method of communication was inefficient since it was so indirect. We just wanted to avoid conflict.”
“... In person, there are no missing lines of communication. You can see facial expressions and it’s quicker too.”
A cultural model was used to analyze this data.

We then identified the following key points.
We then decided to conduct a diary study to collect behavioural data from participants. The questions for the diary study were provided to five participants via a Google form that they could complete daily. There was a set of 3 core questions, along with follow-up questions set up using branching methods on the form. Participants were requested to complete the form every evening once they were confident no more purchases would be made for the day. The anonymity of the participants was maintained by assigning participant IDs to each participant.

At the end of the diary study, the collected data was exported to Google sheets to conduct quantitative analysis. The frequency counts and mean results were compared across participants to identify common patterns of behaviour between them that linked to the research questions for this study. Using this information, we created a flow model to better understand more about how users communicate and divide tasks between them.

From this model, we were able to identify the areas of conflict and within the communication and information flow between roommates.
From our research, we understood the journey the participants experienced during the bill splitting process.
We then proposed eight system design recommendations.
If this project were to continue, we would address all the limitations of our current work and conduct more research with a larger spread of target users. We would also potentially try expanding the team to have 2-3 people focus on determining social factors and bill tracking. In that way, we could create more potential design recommendations to enable cohesive social relations between people who live together.
During this project, we made note of the limitations our research had -
Since we identified these during the research phase, we realized that the data generated could not be generalized to every single roommate, but it could apply to college students in shared living situations with some more research.
Besides the eight design recommendations, there were two other ideas we considered but didn't include. The first one was the option to track expenses, however results from the diary study overwhelmingly showed that most users were not interested in a way to track expenses. The other idea included considering social factors, but since the social relationship between roommates was beyond the project scope, we decided not to conduct further research. Hence, by choosing ideas that were backed up by research and addressed user issues, we made sure that our design recommendations were actionable and helpful.