The Dashboard of My Life – 2016

Bussiness use dashboards to make sure that their performance and profit is on track but why don’t we use one in our own life to make sure that we are reaching our goals? I decided to create my own and it was one of the most insightful things that I’ve done, helping me to sleep more, get more exercise and achieve my goals.

I have been using a Fitbit and Withings bathroom scales for a number of years but in 2016 I decided to get serious with my ‘(quantified) self’ and started recording the 35 most important areas of my life, including: Health/Productivity/Food/Giving Back. I thought that tracking these variables would hold me accountable and help me to see relationships between different ones, for example: Am I more productive the more sleep that I get?

The Highlights of my 2016 Data:

Food/Calories

Change in weight: An increase of 4.2Kg
Most Calories/Day: 4,255 – On March 27th while in Asheville, NC sampling the culinary delights
Average Calories per day: 2,457
Total Number of Alcoholic Drinks: 449
Most Alcoholic Drinks/day: 10 – 24th November (I gave a lot of thanks on Thanksgiving)
Meals I ate out: 207
Meals I ate meat: 294

Activity/Health

Most Steps: 44,975 – When running the Pyongyang Marathon in North Korea on April 9th.
Least Number of Steps: 1,145 – On June 3rd, which must have been a lazy summers day!
Average Number of Steps per day: 12,280 – There wasn’t a month where I went under 10,000.
Hours of sleep per night: 6.7 hours
Day with the most sleep: 12.65 hours – 10th February
Average Meditation/day: 26.4 minutes
The day with the most meditation: 260 minutes – 25th March

The spreadsheet has different tabs, allowing me to see my monthly performance, and how it compares to my goals:

As well as correlations:

After further analysis some interesting insights that I noted were:

+There is a strong relationship (r = 0.58) between meat consumption and going out to eat.
+There is a weak correlation (r = 0.12 ) between drinking alcohol and going out to eat
+There is a weak negative correlation (r = -0.19) between calories I consume and my productivity.
+There is a weak negative relationship between the amount of sleep that I get and my productivity.
+ I am most productive on a Tuesday!

The data is compiled (semi) automatically within a Google Spreadsheet through a variety of feeds:

+My weight and fat are recorded every morning by my Withings Bath scales which connects to Fitbit.
+Food is recorded using the MyFitnessPal app which syncs to Fitbit
+Activity and sleep are automatically monitored by my FitBit, which conncets the above data to the spreadsheet via the Fitbit API
+RescueTime records my productivity which my Virtual Assitant inputs into the spreadsheet
+Other data such as: Gym/Yoga/Meditation/Alcoholic Drinks etc are recorded by me manually inputting the data.

The dashboard has done wonders to help keep me accountable, and more importantly, to help me notice when I have fallen off the horse, allowing me to keep on track with my goals. If you’d like a copy of the dashboard, leave me a comment below.

 

**Edit: Please find instructions on how to download the spreadsheet and connect your Fitbit below**
The dashboard/spreadsheet can be viewed here:
Go to File–>’Make a copy’
To connect your Fitbit to Sync with the dashboard, please follow these steps:

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