1. 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?

Our group chose the topic ‘catching public transport’. Firstly, we worked in pairs to interview each other about the experiences with the public transport and created a single persona. To better generate the profile of the interviewed person, my interview questions were designed based on the behaviours of the person, focusing on the interviewee’s motivations, frustrations and the feelings of using transport (e.g. why you go to school by train?).

Then we gathered our interview data and made comparisons, thereby identifying the variables. Cause the four people in our group are all international students from China, our user characteristics are similar (e.g. age, nationality, culture background, preferences). For example, according to our analysis, we have two same purposes of using transport. One is to go to school, another is to hang out. Furthermore, when sharing the experiences of using transport, we all considers the scenarios in the frequency and the approximate cost on transport. So, for me I think there was enough commonality between our 4 group members.

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

Although we achieved enough commonality and generated final personas, there are still some limitations existing.

One big limitation is that we only have four pieces of interview data. It is not that much representative and reliable because of the thin facts and statistics.

Another problem is that we all played the role as an interviewer and the role as an interviewee. Listening to other’s answers might influence your personal response to the interview questions. Because similar experiences or reasonable evidences are persuasive, interviewers could easily build empathy with the interviewees. If interviewers are also interviewees, it might also impact the validity and the diversity of the gather data.

Therefore, to get better results and build correct empathy with users, we might increase the number of interviewees to guarantee the diversity of the collected data. Moreover, interviewers are not allowed to attend the interviews as an interviewee.