By the Core Team at IntuitEcon
Synthesized learning is a process for accelerated learning and retention we use at IntuitEcon. The process begins with an investing topic of interest. There are three steps to SLP including...
Writing to communicate
Socialize and build relationships
Feedback, iterate, and improve
We encourage our Brain Trust to use this process to in order to learn faster, retain insights, leverage our platform, and grow your professional networks. If you want to be a better investor and agree with the principles of IntuitEcon ... consider applying.
1. Write to communicate
While practicing synthesized learning, your first step should be to write to communicate. Everything you write should be as short as possible, without losing critical content to your message. The goal is to leverage your mind through written words and the challenge is keeping it simple and to the point.
One great way to start if you are new to writing is to use a five paragraph framework which focuses on three main points. Once you have one paragraph for each main point then write the introduction and conclusion. The introduction will introduce the topics and explain why it's important. The conclusion reiterates the key points and what the reader should take away from the whole article. Bernard writes multiple 5-paragraph framework articles a day...its how he learns and creates a database of investing ideas. You can do this also and collaborate with him and others in the brain trust to create a database of concise investing ideas that you can pull from and build over time.
We also encourage you to use simple, understandable language. Overly complex words might signal that one is an “intellectual” but ultimately only distracts from the main points of your writing. You want to “write to communicate” so you maximize understanding, crystalize the important concepts, and attract the most attention from readers that share your interest. This allows your network of Deep Relationships to grow as you learn together from soliciting feedback, iterating, and improving the value you add over time. This also supports the mission of IntuitEcon.
2. Socialize and build relationships
Write your draft in a Google Doc so you can have your own copy to socialize with the Brain Trust. Do not wait until you have a great article before you share. Aim for a "C-" in quality on your first draft because you are going to learn faster and write better quality final drafts that way. important to share with others and collect feedback on your project and project idea.
You are not operating in a vacuum. You are part of a "hive-mind" neural network of fellow curious investors that share your principles. Learn from them...get so good at taking feedback you feel naked without it. By socializing your drafts you also build relationships within the Brain Trust, learn there core competencies, and open doors to future collaboration.
Feedback, iterate and improve
Once you have collected feedback go back and improve your thesis. When reading others' feedback identify the things that people thought added value to them and the things that did not. Not only should you take the feedback and improve on your current project, but apply them to new articles in the future. Keep in mind that you don’t have to accept all pieces of feedback if you don’t agree. Afterall, it is your thesis.
Once you have a solid final draft then share it on your IntuitEcon blog and tag it with the "Subscribers Only" category. Those who participate will be paid all subscriber fees in proportion to the number of views they receive. Let everyone know on Slack when you publish so they can share it on Social Media about grow the socialization process to the next level. Listen to the comments from the world. Use those who disagree with you to your advantage.
Synthesized learning can help you become a better investor and grow your professional network. It is a proven process to help accelerate knowledge growth and retention. By using this process our Brain Trust can grow their network by connecting with others around shared deep interests, learn to take feedback and use it to iterate and improve over time.
We only want contributors that use this process because it will make them more powerful...and we want our neural network to be powerful enough to run circles around other hedge funds.