A/B testing is local optimization. It should only be done on a mature(-ish) product when you have given up on finding a global minimum. Running experiments and A/B tests are popular because it is _guaranteed_ to give you signal. If you have a large engineering team and you're not sure how to filter the quality of results, gating everything through A/B tests is a well understood methodical way to ensure only positive…
A/B testing gets misused to juice metrics in the short term
81–90 of 346 posts
Re: A/B testing gets misused to juice metrics in the short term
#82The problem is it's not subtle at all; there's a handful of those features that, when combined, end up being overbearing and noisy: "3 people looked at this listing within the past 3 days! 12 rooms left at this rate!" I don't care. I'm looking to book business or vacation travel. If a spot fills up I'll just go somewhere else. It'll be fine either way.
I don't use them anymore for that reason. Old soul (me) is old. (I'm probably in a minority, judging by their advertisement budget.)
Re: A/B testing gets misused to juice metrics in the short term
#83"As an experiment, I went through a list of holiday weekend sales, and opened all the sites. They all — all, 100% — interrupted my attempt to give them some money." This is a good touchstone to use for "you've overoptimized your site, tone it back". I am also taken aback every time I'm on a site, I've got something in my shopping cart, I'm headed for the "check out" button, or I'm even on the checkout page , and some…
Recently I got an account on a developer tool (Checkly) because the company I joined uses it. I then got 5 different emails from them in a 48 hour period. Like I'm sure many users sign up then drop out of your funnel but I'm part of an organization that's a paying customer. I'm already going to use your stuff. What possible business benefit could there be to you spamming me? If anything you're risking the inverse - i…
Re: A/B testing gets misused to juice metrics in the short term
#84A/B testing is local optimization. It should only be done on a mature(-ish) product when you have given up on finding a global minimum. Running experiments and A/B tests are popular because it is _guaranteed_ to give you signal. If you have a large engineering team and you're not sure how to filter the quality of results, gating everything through A/B tests is a well understood methodical way to ensure only positive…
It's almost guaranteed to ensure only false positive work makes its way through. If you're picking 0.05 as your P value, and you're running dozens to hundreds of tests, your false positives are almost certain to exceed your actual positives.
When I'm working for clients that do a lot of A/B testing, I suggest that they should always run A/A tests to ensure that they're not incorrectly rejecting the null hypothesis. If your A/A tests are showing significant differences, you have a problem in your testing pipeline that by definition can't be cured by more testing. You need holdout groups and selectivity about what to test, instead of just throwing everything at the proverbial wall.
Re: A/B testing gets misused to juice metrics in the short term
#85I'd say this is a sub-category of the saying: "There is nothing in this world that an MBA can't and won't make worse". It happens when people change perspectives from building and sustaining businesses to exploiting and squeezing every employee, supplier, and customer for the last drop.
This is just casual bigotry.
Re: A/B testing gets misused to juice metrics in the short term
#86Earlier quoted context omitted.
Calling that bigotry is offensive to anyone that has been subjected to actual bigotry. You should be ashamed.
Quoted post unavailable.
Re: A/B testing gets misused to juice metrics in the short term
#87"As an experiment, I went through a list of holiday weekend sales, and opened all the sites. They all — all, 100% — interrupted my attempt to give them some money." This is a good touchstone to use for "you've overoptimized your site, tone it back". I am also taken aback every time I'm on a site, I've got something in my shopping cart, I'm headed for the "check out" button, or I'm even on the checkout page , and some…
Recently I got an account on a developer tool (Checkly) because the company I joined uses it. I then got 5 different emails from them in a 48 hour period. Like I'm sure many users sign up then drop out of your funnel but I'm part of an organization that's a paying customer. I'm already going to use your stuff. What possible business benefit could there be to you spamming me? If anything you're risking the inverse - i…
Still absurd, but I know this is a problem friends of mine have had.
Re: A/B testing gets misused to juice metrics in the short term
#88"As an experiment, I went through a list of holiday weekend sales, and opened all the sites. They all — all, 100% — interrupted my attempt to give them some money." This is a good touchstone to use for "you've overoptimized your site, tone it back". I am also taken aback every time I'm on a site, I've got something in my shopping cart, I'm headed for the "check out" button, or I'm even on the checkout page , and some…
I hate them so much. It makes it feel like so much more of a chore to try to do research or look for things online. I'd honestly prefer 56k page-load speeds if the pages were free of this garbage.
Re: A/B testing gets misused to juice metrics in the short term
#89Earlier quoted context omitted.
"To me, A/B testing means you don't respect your users. You see them as just one factor in your money machine that can be poked and prodded to optimize how much money you can squeeze out of them. " Your perspective is extremely short-sighted. A/B testing can result in this type of behaviour but that's just poor A/B testing. Good A/B testing focuses on removing distractions from the experience and helping users derive…
I never seen an A/B test where the goal was not to maximise profit for the company.
Re: A/B testing gets misused to juice metrics in the short term
#90A/B testing is local optimization. It should only be done on a mature(-ish) product when you have given up on finding a global minimum. Running experiments and A/B tests are popular because it is _guaranteed_ to give you signal. If you have a large engineering team and you're not sure how to filter the quality of results, gating everything through A/B tests is a well understood methodical way to ensure only positive…
> Running experiments and A/B tests are popular because it is _guaranteed_ to give you signal. If you have a large engineering team and you're not sure how to filter the quality of results, gating everything through A/B tests is a well understood methodical way to ensure only positive work makes it way through. It's almost guaranteed to ensure only false positive work makes its way through. If you're picking 0.05 as…