I personally have never heard from a product person „Let’s A/B test whether this is delightful“. And I think that’s because delightfulness or satisfaction is impossible to quantify in A/B tests. You only get to measure things like engagement, signup rates, retention etc. - cold hard taps on the screen, and no more.
And I must say that I‘m glad that, right now, apps can’t just scan my face (or cortisol levels, or pheromones or…) for emotional clues while I read their pesky push notifications that want to coax me back into their daily active user base.
it's the perspective of the normal users.
every time i'm using a website and it does not behave exactly the same than for other people or I notice some AB testing, in my head it goes "who the fuck these people think they are?". The computing experience must be consistent and repeatable. If I wanted something that can change depending on the current position of the stars I'd ask another human, not a computer.
A/B testing can result in this type of behaviour but that's just poor A/B testing.
How many tech startup patterns fit that? That's a sign that either the pattern does not generalize well or it's snake oil.
However, there are many products which allow users to enter into a beta or test group, where they are the willing subjects to their experiments (in exchange for the latest shiny new stuff). This has the aspect of consent, leaving the 'stable ring' free of such variability. The fact that google and many startups are not using such consent and offering stability, doesn't mean it can't be done or isn't done.
Doesn't that exact statement describe how Agile (or many other concepts, really) is used in a lot of companies? There's nothing wrong with it in principle, but practice is all over the place.
I do wish they kept better historic purchase data. I assume it's deleted absurdly quickly for compliance?
AB testing is beyond UI. It could be AB testing algorithms for recommendations or search results. When i worked for a CPG company, we would AB test the sample sizes in the boxes. To answer the question what is right amount of product for a sample. We would test shipping to speed, was it worth the upgrade to expedited shipping in terms of LTV to justify the extra cost.
It reminds me of the sentiment I sometimes hear from my teenage children before I explain to them that the world isn't a Bernie Sander/Reddit gotcha soundbite and that reality is complicated.
Or, as anyone who has been on the internet since the 90s will tell you, bang on the damn money.
The downside with hired testers is that they are unlikely to be a statistically representative sample of your target market. I don’t think this is actually a problem for most startups or new products being launched by major players, since a lot of UX issues early in product development will be obvious to anyone who isn’t the original developers, and the number of actual users you have won’t be big enough to serve as a statistically representative sample of your target market anyway.
explaining what your product does is hard when you’re the product expert. A/b testing ad copy helps folks parse what your product does.
If your product is actually good then having more people understand what it is, is also good.
I've been in a similar situation, where I created a relatively sophisticated A/* testing and control system. My idea of good use of the system ended up being very different from how the team employing the system thought about it.
I believe that is part of the point of the post, that unintended, and even unimagined side effects plague even the best of ideas.
Apple introduced A/B testing to Testflight in 2017 and more A/B testing to the App store this year.
Source: I worked at Apple, but not in software.
Sometimes they'll be in A, and sometimes in B.
The button moves or disappears or appears.
Your user does not get an experience they can rely on
no, yours is. if some company wants to do some testing, they SHOULD PAY users for that. A/B testing is just exploiting users to get free testing.
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 more value from the product. Bad A/B testing tries to make things more discoverable, where discoverability is often just noise and distractions. Good A/B testing ensures that the money machine, as you put it, pays its dues to users by making the product experience delightful.