Week 10

This week I again took lead from the way Molly from medium examined her data set and opted to isolate all users whom had either a 4/5 visual attractiveness rating, to gain better insights into the things I was most attracted to. Interestingly, this whittled my 199 match data set down to a mere 37 users.

This was the dataset I used for this:

And these were the graphs I created from it:

Initially, I found this revised subset of my data, really difficult to wrap my head around as it told quite a different story to that of my other data. But after further examination, I realised it was a lot more telling in revealing things that I am attracted to. I used a count to determine the number of users that had any particular trait or engagement characteristic. 

For example, this data clearly showed that I was significantly more attracted to guys whom didn't use pickup lines. And a huge visual trait which I valued was deeming a guys clothing to be stylish. I also preferred witty/outgoing guys, marginally over sweet, but significantly more than I liked guys who I deemed to be raunchy or awkward.

I feel this isolated style also gave a better representation of the ages I'm most attracted to, in comparison with the previous dataset in which the 30 year old outlier looked like a much more significant age bracket. 

I also wasn't surprised to learn that none of the matches in this isolated data set had any hunting or fishing pictures, as this is often something which my friends and I joke about. 

Based on these updated insights, I created my first wireframe:

The biggest feedback I gained from this initial wireframe was that I needed to conduct more hi-fi prototyping in order to effectively evaluate the system. So over the next week, I plan on looking more into different UX & UI interfaces and the design of tinder to start crafting this design.