How to Design a Good Feedback Loop

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Most people are probably more on the like, they let anxiety hold them back when things are not actually that dangerous. We tend to have a lot of fear of things like public speaking or asking for what we really want. If you can get feedback that's precise, fast, and accurate, that'll speed up your learning and your effectiveness in many domains.

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What is risk-driven development? How should we weigh advice, best practices, and common sense in a domain? What makes some feedback loops better than others? What's the best way to take System 2 knowledge and convert it to System 1 intuition? What are forward-chaining and backward-chaining? When is it best to use one over the other? What are the advantages and disadvantages of centralization and decentralization?

Satvik Beri is a cofounder and head of Data Science at Temple Capital, a quantitative hedge fund specializing in cryptocurrency. He is a big believer in the theory of constraints, and he has a background helping companies find and eliminate major development bottlenecks. Some of his interests include machine learning, functional programming, and mentorship. You can reach him at satvik.beri@gmail.com.

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