The null hypothesis is an assumption in testing that there’s no significant difference or effect between two versions. It’s the default belief until data proves otherwise.
In A/B testing, the null hypothesis assumes both versions perform the same. If data shows a clear improvement in one version, the null hypothesis is rejected.
It’s a scientific way to avoid bias and ensure results are based on evidence, not assumptions.
The North Star Metric is the single most important metric that best reflects a company’s long-term growth. It focuses teams on delivering value to customers and avoiding distractions.
A native app is a mobile application built specifically for one platform, like iOS or Android. It uses the platform’s programming languages and features, offering better performance and user experience.
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