A Financial Goals Master List (n=310) (EP.223)

<p>We recently created and conducted a very interesting survey based on financial goals, and today, we get to share some of the data we collected and the answers that were given to the questions. Although there are some definite limitations to our expertise as surveyors and data collectors, the findings are most definitely illuminating, surprising, and useful. Listeners will get to hear a bit about the process of building the survey as well as some of the raw numbers and data before we get into the list of goals that were submitted, collated, and ranked. We also share some of the ways that these were split across demographics such as age and gender. Apart from this focus on the survey, we share some thoughts on <em>Eat the Rich, Coin, </em>and <em>The Next Millionaire Next Door, </em>and finish off the show with some very impactful letters from listeners that we have received recently.</p> <p> </p> <p><strong>Key Points From This Episode:</strong></p> <p> </p> <ul> <li>Thoughts on the new Netflix show, <em>Eat the Rich,</em> and the story of GameStop. <strong>(0:01:58)</strong></li> <li>What to expect on the podcast in November during Canadian Financial Literacy Month. <strong>(0:05:17)</strong></li> <li>Reflections on the new film, <em>Coin,</em> and the founding of Coinbase. <strong>(0:08:08)</strong></li> <li>Introducing the results from our recent survey on goals. <strong>(0:11:23)</strong></li> <li>The process of building the survey and the questions we included. <strong>(0:18:22)</strong></li> <li>A look over the basic data of the survey. <strong>(0:22:27)</strong></li> <li>Popular objectives from the survey and how these were split across different demographics. <strong>(0:23:17)</strong></li> <li>The answers that were given in relation to each specific question. <strong>(0:28:02)</strong></li> <li>Developing best practices for goal setting for an advisor environment. <strong>(0:30:17)</strong></li> <li>Limitations to our expertise in designing this survey and analyzing the data. <strong>(0:32:43)</strong>