Experimentation Background
In any A/B test, we use the data we collect from variants A and B to compute some metric for each variant (e.g. the rate at which a button is clicked). Then, we use a statistical method to determine which variant is better.
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Bayesian Methods
In Bayesian A/B testing, we model the metric for each variant as a random variable with some probability distribution.
By accepting variants that offer a small improvement, Bayesian A/B testing asserts that the false positive rate — the proportion of times we accept the treatment when the t...
How Do You Plan an A/B Test?
Decide what to test, create two versions, decide on how long to run the test, collect enough data, analyze.
If you’re running an on-site test, you’ll want to think of all the sales-related pieces of your website, and then figure out which elements to split test:
- headlines
Before you start, consider your destination
We can't know what is worth doing if we don't know where we are going.
- Before touching any clutter, visualise what it would mean to have a clutter-free to-do list. Maybe you want to have a successful business, or get in shape.
- Then i...
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