Collaboration - Making Data Mistakes

Making Data Mistakes

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Collaboration

A collection of 11 posts

Your team needs a default, glue system for knowledge - use Notion

Your team needs a default, glue system for knowledge - use Notion

Every company needs a central place to store and find information. This article explains why Notion is often the best choice for this "glue system", when you might want to use other tools instead, and how to handle the migration if you're currently using something else.

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.

How to make your software team much more effective

Programming is the closest we have to magic in the real world. Just like magic, you can conjure rich and powerful creations with the power of your own mind, given the right tools and training. Just as powerful magic could lay waste to an entire army, powerful programming can do

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 reproduce your analysis

How to reproduce your analysis

What do you do when things don’t seem to be behaving the same way now that they did before? Here are a few techniques to avoid that dread scenario.

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 Cheat at Data Science (with help from Centaurs and the Wizard of Oz)

What does it take to run a high-performing data science team? In this 15-minute video, I talk about two tools that I’ve found invaluable for doing just that: * Wizard-of-ozzing is a technique for product discovery that can be very helpful for evaluating potential problems to work on [6:00]

Why we're bad at estimating (and what to do about it)

Why we're bad at estimating (and what to do about it)

With practice people can learn to estimate much better.

What makes a great data scientist and data science team? (Podcast)

I was recently honoured to be a guest on The Data Pubcast [https://anchor.fm/data-pubcast/episodes/The-Data-Pubcast--Pint-3-ek3l21/a-a3b42vj] - a podcast about making data accessible to everyone, hosted by the incredibly talented Nick Latocha and Andy Crossley. In the episode [https://anchor.fm/data-pubcast/episodes/The-Data-Pubcast--Pint-3-ek3l21/a-a3b42vj] we discuss:

How to make your data science team faster (and speed up progress)

What do you do if your CEO complains that progress is too slow? While it’s tempting to think you just need to buckle down and “get more done”, more often than not, simply trying to "increase throughput" won’t work, especially if you’ve misdiagnosed the root cause of the problem.

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