Stripe's Journey to Experiment-Driven Product Development
Stripe builds financial infrastructure for the internet. Businesses of every size use Stripe to accept payments and manage their finances.
Before adopting our platform, the engineering team was spending more time maintaining fragile data pipelines than actually building product. Every dashboard required a custom query, and the lack of a unified analytics layer meant different teams were making decisions from inconsistent data.
The Challenge
Their previous solution required each team to write raw SQL against a production replica, causing performance issues and frequent incidents. The data team was a bottleneck — every new metric required a ticket, a review, and a deployment cycle that could take weeks.
The Solution
Within two weeks of onboarding, the team had migrated their core events to our platform. Product managers could now self-serve on funnel analysis, retention cohorts, and A/B test results without filing a single ticket. The data team shifted from reactive support to proactive infrastructure work.
Results
Six months in, the company had reduced time-to-insight from an average of 3 weeks to under 2 hours. Experiment velocity doubled, and three product decisions directly attributable to platform analytics contributed to a 28% increase in activation rate.
"We run hundreds of experiments every quarter. Having a single platform that ties experiment results directly to revenue metrics has been a game changer for how we prioritize."
Brittany Martin
Head of Growth Engineering
