11 Hours of Sleep is not Productive

I struggled to determine what and how I would measure this Sunday sketch. After a long process of internal debate, I realized I am most curious about how productive I am day to day, and whether my level of productivity is dependent on how much sleep I get or the time of day. Especially with Spring semester course signup around the corner, it is beneficial to at what time of day I am most productive. What I valued most while collecting data was waking up and counting how many hours of sleep I had gotten. It was nice to have a concrete understanding of how many hours I am getting on average. I also must admit that occasionally the prospect of having to input data on how productive I had been made me want to be a little more productive in times when I typically lack motivation.
My data collection, via notes on my iPhone, is relatively inconclusive. During the past two weeks when the data collection occurred, I was in very different places. I averaged the data between the two weeks, but in reality, I was much happier and energized in the first week and quite sick and fatigued in the second week (hence the 11 hours of sleep!). I also must admit that my definition of productivity was more of a feeling of general accomplishment than a concrete measurement based on hours of work or numbers of assignments completed. I decided to base it on a feeling because that is what I believe affects me more, how I feel about what I have done, not what I have or haven’t done. As I continued to input numbers as the days went by, I began to create something of a base sense of productivity to base my measurements off of.
Once I had all of my data, my next biggest challenge was to show my findings in a simple format. Since I have not been feeling well, I have to be realistic about my ability to focus and must play to my strengths. I am good with pen and paper and unfamiliar with web design, so I decided to stick to my notebook. I have always found bar graphs to be clear and concise and I separated my data into three parts for easy comparision. I found that I am typically more productive in the hours between noon-midnight. I also discovered that I get a similar amount of sleep each night, and when I get much more sleep than normal (11 hours), I am less productive. I wish I could continue this study throughout the year and incorporate more elements such as exercise. I feel that most of my data is relatively similar and heavily relys on my class schedule and health and therefore is not the best indicator of what truly effects my level of productivity.









