How to measure the cost of an A/B test?
At my past few companies, there has been heavy investment into live A/B tests on the customer population. However, for bigger companies that have more exposure, I have a worry that we may not be able to have the proper ways to measure the real cost of an A/B test that may 1) Have negative PR or branding effects 2) Conflict with the objectives of other features.<p>Sure we can measure customer drop off or engagement, but given the number of tests and projects at any given time, there are too many confounding factors to isolate those measures to a particular test. I'd love to hear from Hackernews suggestions! Thanks!
4 comments
[ 2.9 ms ] story [ 21.6 ms ] threadFor #2: That's much harder. How do you handle this for larger products that you don't A/B test? I'd bet this isn't a unique issue.
If you aren't controlling for variables, it isn't very scientific. It's possible to run multiple tests at the same time and test different things, but you need to be able to isolate what you're measuring and be able to measure something that's statistically significant.
It's easy to measure drop off in a funnel, but harder to measure customers who refuse to even enter the funnel due to bad brand. Is there some way of capturing that?