Case Study: Zapier achieves agile, scalable user-experience analytics with RStudio (Shiny & Shiny Server Pro)

A RStudio Case Study

Preview of the Zapier Case Study

Zapier - Customer Case Study

Zapier, a fast-growing automation platform, faced a common BI problem: its polished, all-in-one dashboard went unused because it tried to solve everything for everyone. As the sole data scientist, Chris Peters needed a more agile way to deliver actionable views—quickly exposing queries and iterating on lightweight, user-focused dashboards without heavy database engineering.

By adopting RStudio's Shiny and Shiny Server Pro, Zapier enabled in-memory R processing, simple DB connections (with dplyr), Bootstrap-based design, and easy EC2 scaling. The team built a multivariate testing system—branded "Zapier Intelligence"—that analyzes nearly every user interaction and surfaces results in rich, scalable dashboards, letting them ship fast, iterate, and directly improve user experience and business value.


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Zapier

Chris Peters

Data Scientist


RStudio

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