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This, and all of the desk research blogs, give an overview of the process and steps taken for each part. I’ve included images taken from the FigJam boards where the majority of the work lives to illustrate the process.

If you would still like to see further details on each part, please view the FigJam board in full.

It can be found at the end of this page, or on this master page.

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Now that I had looked at competitors, I wanted to start thinking about users through a light survey.


Aim

I tend to not find surveys particularly useful, unless your getting a large amount of replies, which I most likely won’t due to the scope of this project. Nevertheless I thought at this stage, a light survey could be a useful basis to begin more thorough user research.

By doing a survey I wanted to learn about typical usage and engagement with public transport, to begin to identify core user groups that could be built upon. Although my project could cover the whole of the UK, I figured specifically looking at Belfast would work best initially, as this where most of my contactable users are.


Process

I began by drafting a set of questions surrounding public transport usage in Belfast. I then created a survey using google forms. I tried to keep this fairly light, from my own experience if I start to have to think too much about which box to click on a survey I’ll loose interest.

I find using the same two or three answering systems throughout a single survey to return better engagement. For example, I used opinion spectrums (strongly agree, agree, neutral, etc.), check boxed distinct options, and open ended optional questions. This way users are able to input an answer faster without having to think about the format each and every question.

Survey.pdf

With the survey prepared, I promoted it through social channels to get a range of responses. One responses started to dry up, I moved the results into FigJam to analyse.

Screenshot 2025-12-05 at 15.34.39.png


Outcomes

After going through the results, I built them into key findings. While the statistics were useful, the real benefits from this were the quotes I got from the more open ended questions. These exposed a lot of issues and attitudes around public transport I hadn’t considered. As I’ll be moving into user research soon, having these quotes will be really useful for building personas from.

Screenshot 2025-12-05 at 15.34.58.png


Reflection