How to Build a Good Feedback Loop

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

The second trait of building a good feedback loop is how granular it is. It's useful to know if your stance was off, if your foot was in the wrong place and more precise feedback on all of those things is even more helpful. And oftentimes things that improve granularity also improve speed. For example, the body language lets you get a much better sense of which pieces of what you're saying are effective but also gives you much faster feedback. The third trait is noise. This is essentially how random your feedback loop is, whether it frequently gives you false negatives or false positives.

Read the full transcript here.

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.

Staff