How can you calculate something unknowable like “Truth”? Statistics has a way to estimate that!
When we can understand the statistics and the risks, we’ll be better able to responsibly calculate and communicate program impacts.
It’s a dangerous question to answer, but are the testing results statistically significant?
There’s a lot to learn about A/B and multivariate testing, and a lot of debate about whether (and when) to use each. But don’t fret! This post seeks to clarify issues surrounding both…
“A true optimization program does not actually test everything; it optimizes everything.”
Using analysis to identify problems is great, but it will never make you better! Learn what happens when we instead use data and brainstorming to identify problems and suggest solutions.