Frequently Asked Questions

Date of slack thread: 4/30/24

Anonymous: Hey folks, curious if Statsig has some blog posts / marketing materials for the scale of experiments for AI products. Specifically, the rate of onboarded A/B experiments and the speed at which businesses use Statsig to tune changes to their products. Non-AI products are cool too. Would love to cite the vast scale in a talk I’m doing this week!

Statbot: Statsig provides a platform that empowers teams to leverage experimentation to improve their velocity and make data-driven decisions. While the documentation does not provide specific blog posts or marketing materials focused solely on the scale of experiments for AI products, it does mention that Statsig enables running unlimited A/B/n tests at scale, ensuring that businesses can always find the optimal configuration for their products (https://www.statsig.com/experimentation|source). The platform is designed to handle a breadth of experimentation topics and provides insights from hands-on experimenters at top companies. This suggests that Statsig is equipped to support a high rate of onboarded experiments and can facilitate rapid tuning of product changes through its experimentation capabilities (https://www.statsig.com/experimentation|source). For more detailed information or specific case studies, you might want to explore the Statsig blog, “Peak Velocity,” where they cover the latest in data and experimentation (http://statsig.com/blog|source).

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Vijaye (Statsig): Does this help?

Anonymous: Definitely helps, wonder if you have a customer case-study anywhere. Likely most folks won’t want to share “Onboarded 200 experiments in January '24”, but maybe…

Vijaye (Statsig): These two links might be helpful:

https://www.statsig.com/testimonials|https://www.statsig.com/testimonials https://www.statsig.com/customers|https://www.statsig.com/customers

Anonymous: Thanks, appreciate the resources

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