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When Segmentation Is Useful (and When It Can Hurt You)
In this post, we’ll draw a clear line between data and metrics that inform reliable launch decisions, and those that should be used as possible red flags and for exploration purposes.
OpenAI’s Statsig Acquisition: Implications for Product Development and Experimentation
OpenAI’s acquisition of Statsig brings together world-leading AI and a leading experimentation platform, highlighting the rising importance of data-driven product iteration. OpenAI recently announced it is acquiring Statsig. The deal, valued at around $1.1 billion…
Experimentation Guardrails: What Product Teams Should Expect from a Mature A/B Testing Platform
As experimentation becomes core to your product development cycle, something important emerges: the need for control, safety, and scale. That’s where experiment guardrails come in.
Make Confident Decisions Faster with Group Sequential Testing
What if your teams could stop low-impact work sooner, act on strong signals faster, and make decisions with statistical confidence WITHOUT adding risk? Group Sequential Testing (GST) makes that possible. It gives you planned checkpoints…
How to Choose the Ideal Tool to Help Build Experimentation Culture in Your Organization
In today’s fast-paced digital landscape, companies that experiment, learn, and adapt quickly are the ones that create a competitive advantage. But creating a true experimentation culture, not just running a few isolated A/B tests, requires…
The Ultimate A/B Testing Checklist for Product Teams
Over the past decade, I’ve worked with teams from resourceful startups to huge enterprises, and they all have one thing in common…
I Helped Build the Experimentation Engine at Booking.com: Here’s What I Learned
How Booking.com Grew Faster Than the S&P 500 When people ask me what made Booking.com grow the way it did, consistently outpacing the S&P 500 for more than a decade, most expect a silver bullet:…
10 Mistakes Product Managers Make When Scaling A/B Testing
Everyone wants to do a good job. But if you’re new to product experimentation, it’s easy to get led astray. Here are ten organizational, technical, and cognitive traps that limit the impact of experimentation programs to avoid.
Build vs. Buy (Or Both?) What You Need to Consider When You Set Your Experimentation Platform Strategy
In this article, we take a look at the pros and cons of building an in-house experimentation platform, buying a third-party solution, or taking a hybrid approach (e.g. you build some things, buy some others, and make it all work together).
Transforming Experimentation Insights Into Actionable Outcomes
Running experiments, tracking outcomes, and making tweaks based on what you learn are important for entire organisations that want to deliver a top-tier user experience. But, despite widespread adoption, a critical gap persists: reporting. All…
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