We solemnly promise that each bit of content you read here is thoughtfully curated or crafted by a human, for a human. We spend hundreds of hours every month speaking to experts with decades of experience. Our blogs are more a journalistic report on the state of experimentation than a single perspective article. Enjoy!
Interview with Richard Joe There’s the experimentation everyone talks about. And then there’s how it actually happens. We’re hunting for signals in the noise to bring you conversations with people who live in the data. The ones who obsess over test design and know how to get buy-in when...
Growth doesn’t come from one-off tests. It comes from loops that compound. Every experiment feeds the next, across acquisition, activation, retention, revenue, and referral. Running them systematically allows your gains to stack up into exponential growth. That’s why this A/B tests for growth teams article is structured around the...
In part 1 of this series, we had a look at LM Studio and explored small models. I found a really good model, Qwen 3, which had 1.7 billion parameters. It performed well, comparable to models of about one to two gigs in size. However, there was a promising...
Interview with Cristina McGuire There’s the experimentation everyone talks about. And then there’s how it actually happens. We’re hunting for signals in the noise to bring you conversations with people who live in the data. The ones who obsess over test design and know how to get buy-in when...
I hope we are all past the “GA4 isn’t useful” language. I try not to judge others. But when something like that is said, it’s hard not to. 🙊 Not because I’m a big GA4 fanboy (I’m not). It’s because the tool is fairly irrelevant – what matters is...
Frequentist and Bayesian are the two main approaches A/B testing tools use to crunch results. One uses a fixed, pre-determined sample size and p-values. The other gives probabilities like “there’s an 85% chance this version is better.” Which should you trust? It depends on your traffic, test design, and...
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Matt Beischel
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