Behavioral Insights: measuring to learn and improve

Behavioral Insights.

Here are 8 interesting articles on analytics & experimentation that I recently read:

1. Measuring to Control vs. Measuring to Learn and Improve
John Cutler: "Teams that are worried about measurement dysfunction will have a hard time establishing the safety necessary to learn, and learn about how they learn." Read the article

2. What we know about the effectiveness of digital advertising
Excellent long read from The Correspondent. Read the article

3. Top 5 mistakes with statistics in A/B testing
Georgi Georgiev goes over 5 of the most frequently encountered high-impact issues with A/B testing. Read the article

4. The Inspection Paradox is Everywhere
"The inspection paradox is a statistical illusion you’ve probably never heard of. ... And once you know about it, you see it everywhere." Read the article

5. Data Science’s Most Misunderstood Hero
Why treating analytics like a second-class citizen will hurt you. Read the article

6. HBR: Most Analytics Projects Don’t Require Much Data
Read the article

7. How to Measure Learnability of a User Interface
Article from NN/g: "To measure learnability, determine your metric, gather your data, and plot the averages on a line curve. Analyze the learning curve by looking at its slope and its plateau." Read the article

8. Typing speeds on mobiles rival keyboard users
Typing on a mobile device (with two fingers) is now only 25% slower than an average typer on a full-sized Qwerty keyboard. Read the article.

 
Have a great week!
— Kevin