Behavioral Insights: what every data story should do 👍💡💥
Behavioral Insights.
Hi ,
Here are 10 things related to experimentation & analytics, I thought were worth sharing this week:
Juice Analytics wrote 'Three Jobs Every Data Story Should Do': 1) tell something people already know, 2) something they don't already know and 3) something to do.
Great article on HBR on The Kinds of Data Scientists: the decision scientist vs. modeling scientist.
There is a new blog with articles explaining the latest Data Visualization Research: Multiple Views.
Academic paper of the week: Experimentation growth: Evolving trustworthy A/B testing capabilities in online software companies. Case study research at Microsoft, Booking.com, Skyscanner, and Intuit that led to an Experiment Growth Model.
WSJ: 'On Hold for 45 Minutes? It Might Be Your Secret Customer Score'. Article about data used to determine what shoppers are worth and how well to treat them. (tip: if you hit a paywall, just google the title).
Kaggle surveyed analytics professionals on the state of data science and machine learning. Now they have released the dataset and organized a competition: '2018 Kaggle ML & DS Survey Challenge'. There is $28,000 in cash prizes to pick up. Deadline December 3.
Twitter Follow Friday tip: John Cutler. This guy tweets interesting stuff about analytics, validation and product management.
I am trying to improve my writing skills by posting daily thoughts on my blog, like this one: The day there is no news.
Next weekend I am off to Conversion Hotel. A three-day conference around experimentation. Looking forward to it. Let me know if you will be there as well.
This Marketoonist cartoon is great. Too many dashboards just report unimportant metrics.
Thanks for reading! If you like this newsletter and want to support it, forward it to a friend. If you’re seeing this newsletter for the first time, you can subscribe.
Have a great weekend.
— Kevin