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?
Working on the topic of “Going to the Supermarket”, it was relatively easy for us to create a coherent persona due to the many commonalities we share in our interview data. Although, I attribute this mainly to the fact that our group consists of only 4 males with 3 of us in our 20s, thus making the chances of similarities naturally higher with such a convenient setup. As a direct inference of these circumstances, I would say that a crafted grouping of target audience helps to streamline a persona if the number of users interviewed is possibly limited.
On the other hand, it was also interesting to note how age group might be a non-determining factor when trying to create personas. This was portrayed by how our 4th member, who is in his early 40s, had similar interests and behavioural patterns like the rest of us. Therefore, despite the fact that it is logical to create personas based on users with similar demographics, there lies some useful data outside of these parameters as well. Having said that, personally, I feel that this is a highly effective method to personify behaviour similarities among users. And since there was enough data to generate a solid persona for our group, it was for the purpose of contrast and comparison that we created a second different one for this topic.
2) Do you think your final persona(s) was successful in generating empathy with users? What would you change to make it better?
I would say that our final persona was successful to certain extents as it effectively portrays distinctly strong characteristics based on the users’ similarities. However, it was afterall a sample size of only 4 males and might lack some depth and accuracy. If possible, as an experiment and for future references, I would increase the sample size and compare across a greater quantity of user data to determine the relationship between number of users interviewed and effectiveness of personas. And depending on the result, I would ensure the optimal number of users interviewed to improve my persona. In addition, more in-depth questions should be asked in order to better the quality of the data as well.