Descriptive vs. Inferential Statistics: What’s the Difference?
November 7, 2024
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This course is part of Feedback Loops: How to Give & Receive High-Quality Feedback Specialization
Instructor: Patrick Barry
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How to break out of "Feedback Ruts"
How to address vague feedback, biased feedback, and "noisy" feedback
How to help people (including yourself) develop effective "self-feedback" systems and strategies
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What if you could become really good at both giving and receiving feedback? Imagine the effect that would have on your overall development, as well as on the various relationships you have in both your professional and personal life. Your ability to grow and improve would expand dramatically. So would the positive impact you could have on the people with whom you interact and collaborate the most.
This first course in the four-part specialization “Feedback Loops: How to Give & Receive High-Quality Feedback" will help you reap those benefits.
How do you know if you are in a Feedback Desert? How do you break out of a Feedback Rut? We'll answer both of these questions this week. We'll also learn a helpful feedback framework: "Keep/Cut"
8 videos11 readings3 assignments2 app items3 discussion prompts
Wouldn't it be nice to have a helpful, systematic approach to giving people feedback? The "E-D-I-T" framework could be just that.
8 videos3 readings3 assignments1 app item3 discussion prompts
Why are we often so bad at giving ourselves feedback? What can we do to address this problem? And what's the proper mix of "challenge" and "recovery" when designing everything from work schedules to class schedules to expectations regarding email and downtime?
8 videos7 readings4 assignments3 app items3 discussion prompts
Is "bias" the same thing as "noise"? Are there ways we can protect both from tainting our decision making?
6 videos4 readings3 assignments1 app item4 discussion prompts
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