Home

Stepping out into the field with Hyper Island

How we went through the steps from assumptions to form UX design recommendations for our given product brief

Map assumptions → Form hypotheses → Quantitative research → Qualitative research → Form insights → Define principles → Articulate recommendations

This article aims to provide a glimpse into the process we followed learning about UX Field Work at Hyper Island. This was the first main module we dove into after our introduction week, and consisted of four weeks of online seminars, workshops and self-study, led by senior digital product designer Julia Bouverat.

The Brief

How might we create a bank or a financial planning product that delivers financial wellness?

We used Figjam as our collaborative whiteboard throughout the process and started mapping our assumptions. We were provided with a user persona for the brief - a young professional who was interested in learning more about personal finance and how to manage their money.

Mapping Assumptions

We identified our assumptions during our first workshop.

I thought this was a good way to start things off as it allowed us to get off the starting blocks faster. It also highlighted to us that not only do we have to map our assumptions about our users' needs, but also about what a final product would be and its potential business benefits.

Assumptions I plotted about user needs included:

Hypotheses

We then molded these user needs into hypotheses, shaping the direction of the research to follow.

Here I hit a bit of a stumbling block. How specific should I be? Should I really believe in the hypothesis 100 per cent? Being a fictional project for educational purposes the project were missing the context, constraints and expectations a real project would have. Perhaps this made the task more challenging? Embracing the Hyper Island spirit of experimentation, I dove in, acknowledging that my actions, successful or not, would at least be valuable learning opportunities.

stickie note saying: we believe users do not have a sense of trust with their bank- they can find better deals elsewhere or by negotiating stickie note saying: that users find it hard to stick to a budget and it requires a lot of self-discipline stickie note saying: that users struggle with budgeting and most of the time feel they can’t treat or enjoy themselves stickie note saying: it is difficult for users to get a clear overview of all the financial options available to them stickie note saying: that users would like to learn more about personal finance but the field is difficult to navigate

Quantitative Research

We created a screener survey, including quantitative questions to gather data. I personally encountered difficulty in pinpointing the necessary data needed at this stage. My preference would be to use the screener survey solely for filtering the best candidates for the research and do a quantitative survey after the interviews, but I do see the value of collecting data at the opportunities available and making the survey even more productive.

Data from survey about users’ relationship with budgeting
Data from survey about users’ relationship with budgeting
Data from survey about users’ attitude towards reading about finance
Data from survey about users’ attitude towards reading about finance

Additionally, I planned a card sorting exercise to take place at the end of each interview, where users could rate nine feature ideas.

Qualitative Research

To keep focused (and also worrying about taking the interviewees valuable time) I kept the interviews at a 20 to 30 minutes’ duration. When preparing notes and quotes from the interviews afterwards I wished I took more time to go more in depth on some of the questions, and ask the interviewees to elaborate more. A good lesson for next time.

stickie with quote: I am already very careful about my spending stickie with quote: I always cook at home and check that each purchase I make is sensible economically stickie with quote: It's about self-leadership and resisting

Insights

Crafting insights from the interviews was a little challenging at first because the interviews brought up issues that I hadn’t foreseen when planning the research. However, the insights could serve as proof of the initial hypotheses to varying degrees. My thinking here is that it might have helped to analyse the first interview thoroughly first, before proceeding to the next, learning from the “mistakes” of the previous interviews as I go along. I would then see where I would want the interviewees to elaborate.

Mental Models

Going through my interview notes it dawned on me that each individual has their own mental model of what a budget should be and how they should spend their money. When developing a budgeting app I believe this would be an interesting avenue to explore.

Principles

Based on the insights, we formulated principles that act as guidance for the recommended next steps. I defined the principles as avoiding specialist financial jargon, facilitating financial education, building trust, minimising efforts involved in staying on budget and promoting rewards.

Recommendations

Arriving at the final stage, we formed our recommendations for next steps of the project. Whilst workshops can be held in the areas of building trust and education, such as, How might we: facilitate learning, reduce efforts of keeping a budget, ensure users we want them to succeed and build trust. Mapping users’ mental models of budgeting would help reveal opportunities that can help managing spending.

Some reflections in hindsight

Starting with hypotheses is a helpful way to establish a starting point and eliminate potential biases that might taint the research further down the process. However, the insights might differ significantly from the initial hypotheses and bring up new angles of the topic we had not considered at the start.

As this was a fictional project for educational purposes, it brings with it a list of unknowns (constraints and expectations) by default, which ironically can complicate the research stage.

I would love to get the chance to do similar research in a professional setting, applying my newly acquired skills and learnings — and create new ones!