Think about decisions you make in your work or personal life. How could having more data help you make better decisions? What kind of data would you need?
Data is an aspect of our everyday lives. Data is found in our everyday tasks like how many emails/texts we send per day, how much money we spend at lunch, and even the number of steps per day we take. Taking in account different data points in our everyday lives could help to assist us with our productivity and goals. For example, if you want to improve your overall health and exercise routine, you can look to data to assist you. If you walk 8,000 steps per day, but want to get to 12,00 steps per day you will know that you have to change some habits. In order to reach your goal, you can take the stairs more, or park further away from the office door. As discussed in the Data Driven Decision-Making Video, you could experiment and learn fast of what solutions work best. Having more data similar to this could help you make better decisions. You can participate in data driven experiments with your finances, social media activity, and hobbies. Data that you would need includes total dollar amounts, internet usage, and hobby practice time estimates. There are many resources that one could use to assist them with collecting and reading the data.
How would you balance your own intuition and data to make better decisions?
To balance data and intuition to make better decisions, one must consider what solution would work best for their desired outcome. A person should be mindful and considerate about the data they have, and also about what feels right. To do this, it is best to have easy systems in place to analyze data. This will allow a person to make quick decisions based on both data and intuition. For example, this type of balance can be beneficial when going on shopping trip. A budget app on your phone that shows financial data can help you when you want to overspend. Although you fell in love with a dress at your favorite shop, you know it is too expensive. Your intuition tells you that really want to buy the dress, but your data does not support those feelings. There is a balance between using both data and intuition. Instead of giving in, you find a less expensive dress that still satisfies your shopping needs.