Tutorial 3 – Personas
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?
We found that 2 participants correlated quite strongly across the variables we mapped out. However, the other two participants were somewhat discordant although they did align with some opinions/variables. Perhaps if we had more data, stronger trends would start to emerge and we could create personas which were more strongly grounded in both qualitative opinions and quantitive data.
From our data, we had one strong persona and a second one which had a combination of thoughts from the remaining two participants – some of these thoughts were shared between the two actual participants, but for other opinions, we needed to agree to a compromise because of the differing opinions. It was important for us to remember that we were creating an archetype of a user, rather than a stereotype – it was ok, as long as the data we used was broadly representative.
2. Do you think your final persona(s) was successful in generating empathy with users? What would you change to make it better?
I feel that we were very lucky how closely our data aligned for our primary persona. I feel that given the small sample size of participants, we did well creating a persona which would generate empathy for our users. However, if we had interviewed more people and had more data to draw observations from, I feel that we would have been able to create a more representative archetype which would have been more successful in generating empathy with users. I would change the sample size of participants and also map the data against a wider range of
I would change the sample size of participants and also map the data against a wider range of variables to consider opinions, needs, motivations and frustrations from more angles. This would generate a more relatable persona.