Decision-making - Making Data Mistakes

Making Data Mistakes

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Decision-making

A collection of 4 posts

Postmortems: The single most important keystone habit for a team (step-by-step guide)

I’m an undisciplined person. My habit of reading books about habit-formation is stronger than any of the habits they’ve helped me form. Perhaps because of this, I’m interested in the idea of keystone habits - “a small and manageable shift or change that acts as a catalyst

How to run an Idea Stampede to make a group gallop

aka How to have a conversation productively with 10 people at once (aka How to run brainstorms like a pro)

How to know if your recommendations algorithm is actually doing a good job

I led the team that built Channel 4’s recommender system for All 4 in 2016. It started out as a straightforward project. But after getting lost in a rabbit hole trying to devise a score for ‘provocativeness’ and ‘serendipity’, I learned the single most important lesson about data science.

How to make good, quick, collective decisions

This is a recipe for making good, quick, collective decisions: * Write a proposal with: a clear statement of the goals you're trying to achieve (always start with the goals!), your suggested approach, and maybe an argument for why it's a good idea. (A Google Doc is good for this kind