LaunchDarkly not your perfect fit? Explore the best LaunchDarkly alternatives for feature management & experimentation in 2024.
Learn to choose the ideal product strategy framework for 2024 with key benefits, common types, and a step-by-step guide.
Here’s the best A/B testing tools and software out there, ranked and reviewed to help you decide which suits your business needs.
Learn the key SaaS product metrics you should be tracking and testing to improve your business.
Unlock new possibilities for 1:1 personalization
Learn about the top benefits of A/B testing that your business should be taking advantage of in 2024.
Picking the right tool for building personalization
How to make a strategic decision and look for alignment, not just a laundry list of functionality
A "How To" Based On My Lessons Learned In the Trenches
How to avoid the pitfalls of peeking at A/B tests without flying blind
Measuring impact when you cannot hold out a control group
How many engineers will you commit to internal tool buildouts?
Don't let these violations invalidate your experiment results
A holistic comparison of statistical methods for online experimentation
Ensure core metric definitions are in sync across experimentation in Eppo, BI, and other data platforms, all managed via GitHub
Accurately measure the cumulative impact of your experimentation program
Holdouts help measure the cumulative, long-term impact of an experimentation program. But getting value out of holdouts requires scale and maturity that not all organizations are ready for.
When does it make sense to bandit, and when to experiment?
Some of my personal takeaways and highlights from a slightly bigger, seemingly more diverse CODE conference.
You can’t just say “we should take a scientific approach.” That won’t work.