Describe your experience of creating personas from different users’ perspectives gathered in the interview data. Was there enough commonality between the 4 people interviewed to form a coherent persona? Or did it make more sense to create a second different persona?

Catching public transport is our chosen activity. Firstly, we interviewed each other in pairs and took notes about the interview questions and demographic data. Secondly, we set several variables in terms of demographic and behavioral aspects and then mapped the interviewees on each variables. In this process, identifying variables was quite interesting, because we needed to consider why we have different preferences and classify the differences. After that, we analyzed the relationship between variables and extracted a specific character using potential pattern. Finally, we created a virtual persona which was quite representative.

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The commonality of interviewees was enough to form a persona, because two of our team members were in a similar situation when using public transport, both of them were living far away from the university and they had to travel by train. Therefore, the traits of them were quite notable. But in order to meet user diversity, we did think that a second different persona should be created to represent other user group.

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Do you think your final persona(s) was successful in generating empathy with users? What would you change to make it better?

Definitely, our final persona was successful to represent a certain user group, who have to travel by train everyday. Favorite features and frustrations of this user group are similar, specifically, they focus on the frequency and cost. Next time, it is better to have more interviewees, and I also need to prepare more concrete questions for them, so that I can cluster more specific informations to make the persona much more representative.