# How we built Datadog Experiments

DevFeed: [How we built Datadog Experiments](<https://devfeed.tech/articles/how-we-built-datadog-experiments-2283.md>)

Original publisher: [Read original article](<https://www.datadoghq.com/blog/how-we-built-datadog-experiments/>)

Author: Chas DeVeas; Aaron Silverman; Tyler Buffington; Jonathan Fulton; Taylor Overturf

Published: 2026-09-10T00:00:00Z

Content type: article

Language: en

Sources: [Datadog | The Monitor blog](<https://devfeed.tech/sources/datadog-the-monitor-blog.md>)

Topics: [experiments](<https://devfeed.tech/topics/experiments.md>), [real user monitoring](<https://devfeed.tech/topics/real-user-monitoring.md>)

Tags: [a-b-testing](<https://devfeed.tech/tags/a-b-testing.md>), [acquisition](<https://devfeed.tech/tags/acquisition.md>), [data-analytics](<https://devfeed.tech/tags/data-analytics.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>), [experimentation](<https://devfeed.tech/tags/experimentation.md>), [experiments](<https://devfeed.tech/tags/experiments.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [observability](<https://devfeed.tech/tags/observability.md>), [product-analytics](<https://devfeed.tech/tags/product-analytics.md>), [real-user-monitoring](<https://devfeed.tech/tags/real-user-monitoring.md>)

## AI overview

Datadog describes rebuilding its experimentation platform to speed up confident A/B-test decisions. The article explains a flexible CUPED approach that reduces metric variance and can be applied to segments.

## Source excerpt

Datadog Experiments shortens the time from result to decision with CUPED on percentiles, verifiable warehouse results, and near real-time RUM metrics.