In the interest of better understanding my purchasing choices I have decided to start collecting data points on my wardrobe. I want to understand how many times I wear each piece so that I can calculate a cost per wear and track the longevity of my clothing.
Warning: this is about to get geeky.
I used sheets in Google Drive, so that I can enter new info from my phone while getting dressed. This is really important, because I know I am not going to log into my computer, go to google.com, click on Drive, and find the sheet to log data every morning. Lifestyle experiments only work as well as you design them.
On a new sheet, I created the headings – Item, Description, Date Purchased, Price in EUR, Number of Times Worn, Date Retired, Notes, and Price Per Wear. In the ‘Item’ column I separated Bottoms, Tops, Sweaters, Jackets, Coats, Dresses, Accessories, and Shoes. Then I simply started entering the data, obviously, I don’t know the exact date purchased or worn number for older items, so I put estimates in those fields. The longer I continue to log data, the more accurate it will get!
For underwear and socks, I get all of mine from Uniqulo and have always been really happy with the quality, so I don’t think it’s worth the time and energy to try to track these.
My hope is that by collecting data on my wardrobe, I am able to better understand how well I am spending my money, what I really wear most, and how well my items hold up over time. This will help me make better choices about future purchases, in addition to helping me really define my individual style.
In case anyone is wondering, I have 37 items of clothing and 5 pairs of shoes. Obviously, this would be a much harder (and arguably much more necessary) task with a larger wardrobe.