Decision-making - Making Data Mistakes

Making Data Mistakes

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Decision-making

A collection of 5 posts

Ease/value ranking

Ease/value ranking

The ease/value ranking is a great way to whittle a big list of product or strategy ideas down to a prioritised backlog, or as a starting point for discussion.

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

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

Every time something goes wrong, or could have gone better, run a blameless, five-whys-inspired Postmortem to figure out how you could improve going forwards.

How to run an Idea Stampede to make a group gallop

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 write proposals that lead to good, quick, collective decisions

How to write proposals that lead to 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